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<title>2021 US MTurk IHL Survey Code</title>

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YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY%2FiOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v%2B6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ%2FqDQK%2BbfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam%2BWpHG%2B0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3%2BJ1eCBay8IYZ0wQRKGAqvCuZ%2FUgbQPyllosq%2BXtfKIZOzmeJqRazpmmoP%2F76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t%2FI4Jktu0XSgifO2ozFOiwd%2F0SssJDn0dn4xqk4GDTTKX73%2FwQyBLdqgJ%2BWx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy%2FqqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh%2FwkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml%2FR4yrzow1Q2A5G%2Bkzo%2FRhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj%2FUMMc34IBqTKLDTp76WzL%2FdMjCxK7MjhiGjeYAC%2Fkj%2FjY%2FRde7hpSM1xChrog6yZ7OWTuD56xBJnGFE%2BpT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G%2B9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36%2FdBySis4m9%2FDR8izaLJW6bWCkVgm5T%2Bius3ZXq4xI%2BGnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te%2Fr4dPYMCl5qtiHNTn%2BTPbh1jCBHH%2BdMJNhwNgs3nT%2BOhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF%2BuRIWyXjQMAs2chdpaKPNaB%2BkSezYt0%2BCA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6%2FTzoA1%2FZBG9bIUVHLAbi%2FkdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh%2Bepgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF%2BzkJHIA7PwCDk1gGVmGUZSSoPhNf%2BTklauz98QofOlCIQ%2FtCD4dosHYPqtPCXB3agggQQIqQJsSkB%2Bqn0rkQ1toJjON%2FOtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU%2BTQ6NIw3ej%2BAtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb%2B%2BW6Uk4q6F7%2Frg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK%2BEfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l%2BwM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l%2BDMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg%2BEWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb%2BMw76Qy29iQ5up%2FX7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa%2FxnsMYcIO%2FvEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz%2FChp%2FVlpj2P7jJQmQRwGnltkTV5dbF9fE3%2FfxoSqTROgq9wFUlbuYzYcasE0ouzBo%2BdDCDzxKAfhbAZYxQiHrLzV2iVexnDX%2FQnT1fsT%2Fxuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR%2BCtGdkPwYN2o7DOw%2FVGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO%2Ff9Qua%2BpDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD%2FprQ84B1pVGkIpVUAHCG%2Biz3Bn3qm2AVrYcYWhock4jso5%2BJ7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk%2BUILT7%2BVoX5mdxxA5fS42gISQVi%2FHTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8%2F6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk%2FwdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt%2BSu9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ%2FBfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk%2Fgc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B%2F%2FlHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO%2BCvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd%2Fp1gi%2F07h8qfwHrByuSxglc9cI4QIg2oqvC%2Fqm0i7tjPLTgDhoWTAKDO2ONW5oe%2B%2FeKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2%2Fj4ODUwRkqrtBBCrDsDpt8jhZdXoy%2F1BCqw3sSGhgGGy0a5Jw6BP%2FTExoCmNFYjZl248A0osgPyGEmRA%2BfAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd%2FocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE%2FEZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ%2FUgd%2FJZQK8lvAm43uDRAbyW8gZ%2BZGq0EVerVGUKUSm%2FIdn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ%2BQATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm%2BoOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724%2BzUQ7%2BvkCpZB%2BpGA562hYQiDxHVWOq0oDQl%2FQsoiY%2BcuI7iWq%2FZIBtHcXJ7kks%2Bh2fCNUPA82BzjnqktNts%2BRLdk1VSu%2BtqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy%2F44XYXdI5noQoRcvjZ1RMPACRqYg2V1%2BOwOepcOknRLLFdYgTkT5UApt%2FJhLM3jeFYprZV%2BZow2g8fP%2BU68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr%2FA1SY9dXFz4RjzoU9ExfJCmx%2FI9FKEGT3n2cmzl2X42L3Jh%2BAbQq6sA%2BSs1kitoa4TAYgKHaoybHUDJ51oETdeI%2F9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB%2BUn44zExFE4vLytcu5NwpWrUxO%2F0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL%2BBDqMyaN3RJPh%2Fanbx%2BIv%2BqgQdAa3M9Z5JmvYlh4qop%2BHo1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs%2Bgs37sFvi0PPVvA5dnCBgILTwoKd%2F%2BDoL9F6inlM7H4rOTzD79KJgKlZO%2FZgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno%2BgBoKVXgIL%2FVI8dB1O5o%2FR3Suez%2FgD7M781ShjKpIIORM%2FnxG%2BjjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4%2FQftDbEn%2BAucIr1oxrLabRj9q4ae0%2BfXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd%2BeNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz%2F6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT%2BmAUmiYbV3YQVqFVp9dorv%2BTsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp%2BxJyYLv1OsxQCZwTB4a8BZ%2F5EdxTBJthApqyfd9u3ifr%2FWILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj%2Fqn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9%2BW8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4%2FYtowhEmTs0vrvlD%2FCrisnoBNDAcUi%2FteY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O%2F4DcgV%2FdZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk%2BtgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb%2Fn7qwhvGnrHuf5bX6Vh%2Fn3xffU3PeHdR%2BFA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E%2BYbfL0adwNtHP7dT7t7b46DVZIkzaRJOM%2BS6KcrzYVg%2BT3wSRFRQashjfU18NutrKa%2F7PXbtuJvpIjbgPeqd%2BpjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir%2F8tNXJ%2FOsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG%2BFZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx%2FGdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD%2FQi%2FEmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4%2FasthNMK5UQKCOhU97oaOYNGsTah%2BjfCKsZnTRn5TbhFX8ghg8CBYt%2FBjeYYYUrtUZ5jVij%2Fop7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM%2B3SW6Opll%2FwgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy%2BQbSKVJcqkia%2BGvDefFwMOmgnD7h81TUtMn%2BmRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d%2FQK7Cr4uoCeOQ7%2F8JfKT77KiDzLImESHw%2F0wf73QeHu74hxv7uihi4fTX%2BXEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo%2FoVH5ww5OzLFsiTPDns7fS6EURSSWd%2F92BxMYQ8sBaH%2Bj%2BwthQPdVgDGpTfi%2BJQIWMD8xKqULliRH01rTeyF8x8q%2FGBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE%2B%2F7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV%2FyTDRRP8Y2ww5RO6d2D94o%2B6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt%2Bkqdae76ViWe3STan69yaF9%2BfESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw%2FA1zEdjWquIsQXXGIVEH0thC5M%2BW9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF%2BRVmI8L4HUYk4x%2B67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8%2Fp5qIQrEo%2FH%2B1l%2F0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud%2BtJUfdaZ4CWNijzZtlRa8%2BCkmO%2FEwHYfPZFU%2FhzjFWH7vnzHRMo%2BaF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce%2F%2B%2F9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs%2FGWJS6SwEN%2FULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e%2BG2zor8l%2BYaMxSEomDdLHGcD6YVQPegTaA74H8%2BV4WvJkFUrjMLGLlvSZQWvi8%2FQA7yzQ8GPno%2F%2F5SJHRP%2FOqKObPCo81s%2F%2B6WgLqykYpGAgQZhVDEBPXWgU%2FWzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M%2BGWn6ASobIWC%2BLbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg%2Fkpf3%2BCnAXKiMgIE8Jk%2FMhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo%2BRJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B%2BSkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE%2BVMd3b1fhCynD0pQNhCG6%2FWCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp%2FYbHjo%2B%2B7%2FWj8S4YNa%2BZdqAw1hDrKWFXv9%2BzaXpf8ZTDSbiqsxnwN%2FCzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m%2FNCW%2FHILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO%2B5EJ7Z6bCiRoPedRZ%2FP0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn%2FLvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl%2B11PoFYnNv2HwAODeNRkHj%2B8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij%2BbsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur%2FeWHjiB7SOVdqMAVmpBvfRiebsFjger7DC%2B8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l%2BkXRZ0KLZaGsFSIdQz%2FHXDxf3%2FTE30%2BDgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH%2BRptvRMVRaahu4cySjS3P5wxAUCPkmn%2BrhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik%2FzbrTQk5KmgxCg%2Ff45L0jywebOWUYFJQAJia7XzCV0x89rpp%2Ff3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl%2B5tfUWZNwBpEPXghzbBggYCw%2Fdhy0ntds2yeHCDKkF%2FYxQjNIL%2FF%2F37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD%2BqNOhwMlfARQUdJ2tUX%2BMNJqOwIciWalZsmEjt07tfa8ma4cji9sqz%2BQ9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe%2BjGDiNJQLWnfx%2BdrTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf%2Fbkvo8PLVBsZl152y5S8%2BHRDfZIMCbYZ1WDp4yrdchOJw8k6R%2B%2F2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB%2BM4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5%2FiYp3ZdrCf7fL%2Ben%2BsIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv%2BNRiJc8JAKqqgCA%2FPNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN%2FhCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj%2BbYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5%2FzBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8%2Fi%2BjHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2%2BJrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk%2BMz7wwstg6RFZb%2BTZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm%2F7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk%2B9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx%2BwhVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC%2BXYuqMBMUun5YezKbRKmEPwuK%2BCLzijPEQgfhahQswBBLfg%2FGBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX%2BRCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk%2F4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug%2FAbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM%2BZu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX%2FpcsfwXbLze2%2BD%2Bu33OGBoJyAAL3jn3RuEcdp5If8O%2Ba4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT%2B%2Btm%2BhaBCikRUUMrMhYKZJKYoVuv%2FbsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV%2FDMUxd9uFZmBfKXMCn%2FSqkWJyKPnT6lq%2B4zBZni6fYRByJn6OK%2BOgPBGRAJluwGSk4wxjOOzyce%2FPKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO%2FcEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm%2BbddRQu5F9s0XftGEJ9JSuSk%2BZachCbdU45fEqbugzTIUokwoAKvpUQF%2FCvLbWW5BNQFqFkJg2f30E%2F48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J%2B1pT0tLkvFVZaNzfhs%2FKd3%2BA9YsImlO4XK4vpCo%2FelHQi%2F9gkFg07xxnuXLt21unCIpDV%2BbbRxb7FC6nWYTsMFF8%2B1LUg4JFjVt3vqbuhHmDKbgQ4e%2BRGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB%2FKVijd1ARWkFEf3yiUw1v%2FWaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G%2BZManTqDLPjyrOse7WiiwOJCG%2BJ0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj%2F6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j%2FN46f%2BS2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb%2F0jQbaHJ2YRK8A%2Bls6WMhWmpCXYG5jqapGs5%2FeOJErxi2%2F2KWVHiPellTgh%2FfNl%2F2KYPKb7DUcAg%2BmCOPQFCiU9Mq%2FWLcU1xxC8aLePFZZlE%2BPCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh%2FnFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW%2BoKFLvpyvTBMM69tN1Ydwv1LIEhHsC%2BueVG%2Bw%2BkyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw%2BH%2FAuOx%2BaH%2BtBL88H57D0MsqyiZxhOEQkF%2F8DR1d2hSPMj%2FsNOa5rxcUnBgH8ictv2J%2Bcb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd%2FPjMMtQfyDNZsOPd6XcAsnBE%2FmRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl%2FXPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG%2FVanIvcwycVA7%2BBE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP%2FMVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX%2F5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c%2FF1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J%2F5wkjpkre727p5PTRX5FGrSBIfJqhJE%2FIS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug%2BoRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U%2F5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7%2FBQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN%2BnA7pvF78%2FRII5ZHA09OAiE%2F66MF6HQ%2BqVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe%2BhXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz%2BJV%2F4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB%2BK3wBP%2FineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q%2F9uocGsx41O4IZhViw%2F2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY%2FcQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE%2Fom7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi%2FcaHSM3FPRGRf7dB7YC%2BcD2ho6oL2zGDCkjlf%2FDFoQVl8GS%2F56wur3rdV6ggtzZW60MRB3g%2BU1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg%2FgBQIZMG%2FYcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK%2FG7F3mUc3GOAKqh60zM0v34v%2BELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND%2B%2FGTk6M56Ig4yMsU6LUW1EWE%2BfIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP%2FIoRIZ%2FF6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg%2FRrPD%2Fd3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl%2BMu4xf0ezqeXD2PtPDnwMPo86sbwDV%2B9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD%2FOwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d%2FUfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH%2B14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC%2BOA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6%2BvAUUBoGhY3CT2tgwehdPqU%2F4Q7ZLYvhRl%2FogOvR9O2%2BwkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn%2FdFSWBWzQ%2FVYk%2BGezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n%2FyJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET%2FHh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j%2BDXfpi12m1RbzYLg9J2wFergEwOxFyD0%2FJstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT%2FcUP6pE%2FmujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB%2BHEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu%2BvqQ02%2BKpJBjaLt9ye1Ab%2BBbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC%2BUwkXOoAjneU%2FxHplMQo2cXUlrVNqJYczgYlaOEczVCs%2FOCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38%2BxsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9%2Bb8fH6%2Bb8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj%2F0Q7PFUcC8hDrxESWdfgFRm%2B7vvWbkEppHB4T%2F1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y%2Bg3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR%2FRrs%2FJLKXgEx%2BqkmeDlFOD1%2FyTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW%2Bxz%2B5FElFxWB28VjYIGZ0Yd%2B5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ%2BlT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ%2B2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1%2BJpI9psyNYIFuJogZa0%2F1AhOWdlHQxdAgbwacsHqPZo8u%2FngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2%2BRdM%2BMAaYaZ0Y%2FADkbNCZuAyAVQa2OcXOeICmDn9Q%2FeFkDeFQg5MgHEDXq%2FtVjj%2Bjtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2%2FBc0UxvseQCO2pQ2i%2BKrfhu%2FWeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt%2FU0Wf%2BphiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7%2BExseJauyqo30hs%2B1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j%2Fe1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la%2FQCTiVelFnU6O%2FGCvykqS%2FwZJDhKN9gBtSOp%2F1SP5VRgJcoVj%2Bkmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn%2B8p6%2BvBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H%2BgDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D%2FGvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P%2BjAgN5TB3haSifDcApp6yymEi6Ij%2FGsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x%2FpChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11%2Fyxyw0UnGig3MFdZklN5FI%2FqiT65T%2BjOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5%2BbqWiAYiAv6Jsf79%2FVUs4cIl%2Bn6%2BWOjcgB%2F2l5TreoAV2717JzZbQIR0W1cl%2FdEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW%2FPhoawJDrGAP0JYWHgAVUByo%2FbGdiv2T2EMg8gsS14%2FrAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq%2BSCcTSx5NDtbFwNlh8VhjGGDu7JG5%2FTAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9%2BogD8Kk%2FW7QoRN1UWPqM4%2BxdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c%2B4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS%2Bo3F8YVVeikw13w%2BOEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX%2B%2B7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9%2FO53DYi%2F5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD%2BP8sNh6e%2BXYHJXT%2FlkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp%2BpT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS%2F2ToPjqkaq62%2F7WFG8advGlRRqxB9diP07JrXowKR9tpRa%2BjGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq%2Bnsp3YMuXt%2FGkXxLx%2FP6%2BZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar%2BgMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud%2BYlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl%2Fzh575R5rsrmRnKAzq4POFdgbYBuEviM4%2BLVC15ssLNFghbTtHWerS1hDt5s4qkLUha%2FqpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI%2ByjEldJfSo4y0QhG4i4IwkRFGcjWY8%2BEzgYYJUK7BXQksLxAww%2FYYWBMhJILB9e8ePEJ4OP7z%2B4%2FwOQDl64iOYDp26DaONPxpKtBxq%2FaTzRGarm3VkPYTLJKx6Z%2FMw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ%2BlPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k%2FUuGkNpP1DBI5ch%2FEehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv%2BJ41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI%2BHYexTUevLUeta4%2FDqKrbMVS%2BYqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ%2B%2BKkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9%2FWx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k%2F90B8%2ByRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB%2FmQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go%2Fn6j0cS%2Ba2gEU8gIHJ%2BBwfgZX4GL%2BBd%2FgW34FZ%2BBS%2FgUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh%2FF062yJ7AAAAEDAWAAABWhJ%2BKPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cn04AAEFNAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAIAAAAAAAAAAAEAAAAAAAAAJxJ%2FLAAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAA5ADsAUABTACAAMAAwADEALgAwADAAOQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAKncAE0TAE0ZAEbuFM3pjM%2FSEdmjKHUbyow8ATBE40IvWA3vTu8LiABDQ%2BpexwUMcm1SMnNryctQSiI1K5ZnbOlXKmnVV5YvRe6RnNMFNCOs1KNVpn6yZhCJkRtVRNzEufeIq7HgSrcx4S8h%2Fv4vnrrKc6oCNxmSk2uKlZQHBii6iKFoH0746ThvkO1kJHlxjrkxs%2BLWORaDQBEtiYJIR5IB9Bi1UyL4Rmr0BNigNkMzlKQmnofBHviqVzUxwdMb3NdCn69hy%2BpRYVKGVS%2F1tnsqv4LL7wCCPZZAZPT4aCShHjHJVNuXbmMrY5LeQaGnvAkXlVrJgKRAUdFjrWEah9XebPeQMj7KS7DIBAFt8ycgC5PLGUOHSE3ErGZCiViNLL5ZARfywnCoZaKQCu6NuFX42AEeKtKUGnr%2FCm2Cy8tpFhBPMW5Fxi4Qm4TkDWh4IWFDClhU2hRWosUWqcKLlgyXB%2BlSHaWaHiWlBAR8SeSgSPCQxdVQgzUixWKSTrIQEbU94viDctkvX%2BVSjJuUmV8L4CXShI11esnp0pjWNZIyxKHS4wVQ2ime1P4RnhvGw0aDN1OLAXGERsB7buFpFGGBAre4QEQR0HOIO5oYH305G%2BKspT%2FFupEGGafCCwxSe6ZUa%2B073rXHnNdVXE6eWvibUS27XtRzkH838mYLMBmYysZTM0EM3A1fbpCBYFccN1B%2FEnCYu%2FTgCGmr7bMh8GfYL%2BBfcLvB0gRagC09w9elfldaIy%2FhNCBLRgBgtCC7jAF63wLSMAfbfAlEggYU0bUA7ACCJmTDpEmJtI78w4%2FBO7dN7JR7J7ZvbYaUbaILSQsRBiF3HGk5fEg6p9unwLvn98r%2BvnsV%2B372uf1xBLq4qU%2F45fTuqaAP%2BpssmCCCTF0mhEow8ZXZOS8D7Q85JsxZ%2BAzok7B7O%2Ff6J8AzYBySZQB%2FQHYUSA%2BEeQhEWiS6AIQzgcsDiER4MjgMBAWDV4AgQ3g1eBgIdweCQmCjJEMkJ%2BPKRWyFHHmg1Wi%2F6xzUgA0LREoKJChwnQa9B%2B5RQZRB3IlBlkAnxyQNaANwHMowzlYSMCBgnbpzvqpl0iTJNCQidDI9ZrSYNIRBhHtUa5YHMHxyGEik9hDE0AKj72AbTCaxtHPUaKZdAZSnQTyjGqGLsmBStCejApUhg4uBMU6mATujEl%2BKdDPbI6Ag4vLr%2BhjY6lbjBeoLKnZl0UZgRX8gTySOeynZVz1wOq7e1hFGYIq%2BMhrGxDLak0PrwYzSXtcuyhXEhwOYofiW%2BEcI%2Fjw8P6IY6ed%2BetAbuqKp5QIapT77LnAe505lMuqL79a0ut4rWexzFttsOsLDy7zvtQzcq3U1qabe7tB0wHWVXji%2BzDbo8x8HyIRUbXnwUcklFv51fvTymiV%2BMXLSmGH9d9%2BaXpD5X6lao41anWGig7IwIdnoBY2ht%2FpO9mClLo4NdXHAsefqWUKlXJkbqPOFhMoR4aiA1BXqhRNbB2Xwi%2B7u%2FjpAoOpKJ0UX24EsrzMfHXViakCNcKjBxuQX8BO0ZqjJ3xXzf%2B61t2VXOSgJ8xu65QKgtN6FibPmPYsXbJRHHqbgATcSZxBqGiDiU4NNNsYBsKD0MIP%2FOfKnlk%2FLkaid%2FO2NbKeuQrwOB2Gq3YHyr6ALgzym5wIBnsdC1ZkoBFZSQXChZvlesPqvK2c5oHHT3Q65jYpNxnQcGF0EHbvYqoFw60WNlXIHQF2HQB7zD6lWjZ9rVqUKBXUT6hrkZOle0RFYII0V5ZYGl1JAP0Ud1fZZMvSomBzJ710j4Me8mjQDwEre5Uv2wQfk1ifDwb5ksuJQQ3xt423lbuQjvoIQByQrNDh1JxGFkOdlJvu%2FgFtuW0wR4cgd%2BZKesSV7QkNE2kw6AV4hoIuC02LGmTomyf8PiO6CZzOTLTPQ%2BHW06H%2Btx%2BbQ8LmDYg1pTFrp2oJXgkZTyeRJZM0C8aE2LpFrNVDuhARsN543%2FFV6klQ6Tv1OoZGXLv0igKrl%2FCmJxRmX7JJbJ998VSIPQRyDBICzl4JJlYHbdql30NvYcOuZ7a10uWRrgoieOdgIm4rlq6vNOQBuqESLbXG5lzdJGHw2m0sDYmODXbYGTfSTGRKpssTO95fothJCjUGQgEL4yKoGAF%2F0SrpUDNn8CBgBcSDQByAeNkCXp4S4Ro2Xh4OeaGRgR66PVOsU8bc6TR5%2FxTcn4IVMLOkXSWiXxkZQCbvKfmoAvQaKjO3EDKwkwqHChCDEM5loQRPd5ACBki1TjF772oaQhQbQ5C0lcWXPFOzrfsDGUXGrpxasbG4iab6eByaQkQfm0VFlP0ZsDkvvqCL6QXMUwCjdMx1ZOyKhTJ7a1GWAdOUcJ8RSejxNVyGs31OKMyRyBVoZFjqIkmKlLQ5eHMeEL4MkUf23cQ%2F1SgRCJ1dk4UdBT7OoyuNgLs0oCd8RnrEIb6QdMxT2QjD4zMrJkfgx5aDMcA4orsTtKCqWb%2FVeyceqa5OGSmB28YwH4rFbkQaLoUN8OQQYnD3w2eXpI4ScQfbCUZiJ4yMOIKLyyTc7BQ4uXUw6Ee6%2FxM%2B4Y67ngNBknxIPwuppgIhFcwJyr6EIj%2BLzNj%2FmfR2vhhRlx0BILZoAYruF0caWQ7YxO66UmeguDREAFHYuC7HJviRgVO6ruJH59h%2FC%2FPkgSle8xNzZJULLWq9JMDTE2fjGE146a1Us6PZDGYle6ldWRqn%2FpdpgHKNGrGIdkRK%2BKPETT9nKT6kLyDI8xd9A1FgWmXWRAIHwZ37WyZHOVyCadJEmMVz0MadMjDrPho%2BEIochkVC2xgGiwwsQ6DMv2P7UXqT4x7CdcYGId2BJQQa85EQKmCmwcRejQ9Bm4oATENFPkxPXILHpMPUyWTI5rjNOsIlmEeMbcOCEqInpXACYQ9DDxmFo9vcmsDblcMtg4tqBerNngkIKaFJmrQAPnq1dEzsMXcwjcHdfdCibcAxxA%2Bq%2Fj9m3LM%2FO7WJka4tSidVCjsvo2lQ%2F2ewyoYyXwAYyr2PlRoR5MpgVmSUIrM3PQxXPbgjBOaDQFIyFMJvx3Pc5RSYj12ySVF9fwFPQu2e2KWVoL9q3Ayv3IzpGHUdvdPdrNUdicjsTQ2ISy7QU3DrEytIjvbzJnAkmANXjAFERA0MUoPF3%2F5KFmW14bBNOhwircYgMqoDpUMcDtCmBE82QM2YtdjVLB4kBuKho%2FbcwQdeboqfQartuU3CsCf%2BcXkgYAqp%2F0Ee3RorAZt0AvvOCSI4JICIlGlsV0bsSid%2FNIEALAAzb6HAgyWHBps6xAOwkJIGcB82CxRQq4sJf3FzA70A%2BTRqcqjEMETCoez3mkPcpnoALs0ugJY8kQwrC%2BJE5ik3w9rzrvDRjAQnqgEVvdGrNwlanR0SOKWzxOJOvLJhcd8Cl4AshACUkv9czdMkJCVQSQhp6kp7StAlpVRpK0t0SW6LHeBJnE2QchB5Ccu8kxRghZXGIgZIiSj7gEKMJDClcnX6hgoqJMwiQDigIXg3ioFLCgDgjPtYHYpsF5EiA4kcnN18MZtOrY866dEQAb0FB34OGKHGZQjwW%2FWDHA60cYFaI%2FPjpzquUqdaYGcIq%2BmLez3WLFFCtNBN2QJcrlcoELgiPku5R5dSlJFaCEqEZle1AQzAKC%2B1SotMcBNyQUFuRHRF6OlimSBgjZeTBCwLyc6A%2BP%2FoFRchXTz5ADknYJHxzrJ5pGuIKRQISU6WyKTBBjD8WozmVYWIsto1AS5rxzKlvJu4E%2FvwOiKxRtCWsDM%2BeTHUrmwrCK5BIfMzGkD%2B0Fk5LzBs0jMYXktNDblB06LMNJ09U8pzSLmo14MS0OMjcdrZ31pyQqxJJpRImlSvfYAK8inkYU52QY2FPEVsjoWewpwhRp5yAuNpkqhdb7ku9Seefl2D0B8SMTFD90xi4CSOwwZy9IKkpMtI3FmFUg3%2FkFutpQGNc3pCR7gvC4sgwbupDu3DyEN%2BW6YGLNM21jpB49irxy9BSlHrVDlnihGKHwPrbVFtc%2Bh1rVQKZduxIyojccZIIcOCmhEnC7UkY68WXKQgLi2JCDQkQWJRQuk60hZp0D3rtCTINSeY9Ej2kIKYfGxwOs4j9qMM7fYZiipzgcf7TamnehqdhsiMiCawXnz4xAbyCkLAx5EGbo3Ax1u3dUIKnTxIaxwQTHehPl3V491H0%2BbC5zgpGz7Io%2BmjdhKlPJ01EeMpM7UsRJMi1nGjmJg35i6bQBAAxjO%2FENJubU2mg3ONySEoWklCwdABETcs7ck3jgiuU9pcKKpbgn%2B3YlzV1FzIkB6pmEDOSSyDfPPlQskznctFji0kpgZjW5RZe6x9kYT4KJcXg0bNiCyif%2BpZACCyRMmYsfiKmN9tSO65F0R2OO6ytlEhY5Sj6uRKfFxw0ijJaAx%2Fk3QgnAFSq27%2F2i4GEBA%2BUvTJKK%2F9eISNvG46Em5RZfjTYLdeD8kdXHyrwId%2FDQZUaMCY4gGbke2C8vfjgV%2FY9kkRQOJIn%2FxM9INZSpiBnqX0Q9GlQPpPKAyO5y%2BW5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W%2FN6l54qOynCqD3DpWQ%2BmpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE%2B7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv%2F8lbTIkkYpqKM9VOhp65ktYk%2BQ46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI%2BejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5%2B7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu%2Bvtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY%2FiOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v%2B6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ%2FqDQK%2BbfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam%2BWpHG%2B0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3%2BJ1eCBay8IYZ0wQRKGAqvCuZ%2FUgbQPyllosq%2BXtfKIZOzmeJqRazpmmoP%2F76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t%2FI4Jktu0XSgifO2ozFOiwd%2F0SssJDn0dn4xqk4GDTTKX73%2FwQyBLdqgJ%2BWx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy%2FqqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh%2FwkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml%2FR4yrzow1Q2A5G%2Bkzo%2FRhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj%2FUMMc34IBqTKLDTp76WzL%2FdMjCxK7MjhiGjeYAC%2Fkj%2FjY%2FRde7hpSM1xChrog6yZ7OWTuD56xBJnGFE%2BpT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G%2B9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36%2FdBySis4m9%2FDR8izaLJW6bWCkVgm5T%2Bius3ZXq4xI%2BGnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te%2Fr4dPYMCl5qtiHNTn%2BTPbh1jCBHH%2BdMJNhwNgs3nT%2BOhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF%2BuRIWyXjQMAs2chdpaKPNaB%2BkSezYt0%2BCA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6%2FTzoA1%2FZBG9bIUVHLAbi%2FkdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh%2Bepgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF%2BzkJHIA7PwCDk1gGVmGUZSSoPhNf%2BTklauz98QofOlCIQ%2FtCD4dosHYPqtPCXB3agggQQIqQJsSkB%2Bqn0rkQ1toJjON%2FOtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU%2BTQ6NIw3ej%2BAtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb%2B%2BW6Uk4q6F7%2Frg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK%2BEfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l%2BwM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l%2BDMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg%2BEWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb%2BMw76Qy29iQ5up%2FX7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa%2FxnsMYcIO%2FvEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz%2FChp%2FVlpj2P7jJQmQRwGnltkTV5dbF9fE3%2FfxoSqTROgq9wFUlbuYzYcasE0ouzBo%2BdDCDzxKAfhbAZYxQiHrLzV2iVexnDX%2FQnT1fsT%2Fxuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR%2BCtGdkPwYN2o7DOw%2FVGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO%2Ff9Qua%2BpDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD%2FprQ84B1pVGkIpVUAHCG%2Biz3Bn3qm2AVrYcYWhock4jso5%2BJ7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk%2BUILT7%2BVoX5mdxxA5fS42gISQVi%2FHTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8%2F6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk%2FwdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt%2BSu9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ%2FBfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk%2Fgc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B%2F%2FlHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO%2BCvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd%2Fp1gi%2F07h8qfwHrByuSxglc9cI4QIg2oqvC%2Fqm0i7tjPLTgDhoWTAKDO2ONW5oe%2B%2FeKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2%2Fj4ODUwRkqrtBBCrDsDpt8jhZdXoy%2F1BCqw3sSGhgGGy0a5Jw6BP%2FTExoCmNFYjZl248A0osgPyGEmRA%2BfAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd%2FocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE%2FEZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ%2FUgd%2FJZQK8lvAm43uDRAbyW8gZ%2BZGq0EVerVGUKUSm%2FIdn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ%2BQATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm%2BoOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724%2BzUQ7%2BvkCpZB%2BpGA562hYQiDxHVWOq0oDQl%2FQsoiY%2BcuI7iWq%2FZIBtHcXJ7kks%2Bh2fCNUPA82BzjnqktNts%2BRLdk1VSu%2BtqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy%2F44XYXdI5noQoRcvjZ1RMPACRqYg2V1%2BOwOepcOknRLLFdYgTkT5UApt%2FJhLM3jeFYprZV%2BZow2g8fP%2BU68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr%2FA1SY9dXFz4RjzoU9ExfJCmx%2FI9FKEGT3n2cmzl2X42L3Jh%2BAbQq6sA%2BSs1kitoa4TAYgKHaoybHUDJ51oETdeI%2F9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB%2BUn44zExFE4vLytcu5NwpWrUxO%2F0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL%2BBDqMyaN3RJPh%2Fanbx%2BIv%2BqgQdAa3M9Z5JmvYlh4qop%2BHo1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs%2Bgs37sFvi0PPVvA5dnCBgILTwoKd%2F%2BDoL9F6inlM7H4rOTzD79KJgKlZO%2FZgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno%2BgBoKVXgIL%2FVI8dB1O5o%2FR3Suez%2FgD7M781ShjKpIIORM%2FnxG%2BjjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4%2FQftDbEn%2BAucIr1oxrLabRj9q4ae0%2BfXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd%2BeNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz%2F6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT%2BmAUmiYbV3YQVqFVp9dorv%2BTsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp%2BxJyYLv1OsxQCZwTB4a8BZ%2F5EdxTBJthApqyfd9u3ifr%2FWILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj%2Fqn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9%2BW8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4%2FYtowhEmTs0vrvlD%2FCrisnoBNDAcUi%2FteY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O%2F4DcgV%2FdZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk%2BtgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb%2Fn7qwhvGnrHuf5bX6Vh%2Fn3xffU3PeHdR%2BFA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E%2BYbfL0adwNtHP7dT7t7b46DVZIkzaRJOM%2BS6KcrzYVg%2BT3wSRFRQashjfU18NutrKa%2F7PXbtuJvpIjbgPeqd%2BpjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir%2F8tNXJ%2FOsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG%2BFZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx%2FGdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD%2FQi%2FEmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4%2FasthNMK5UQKCOhU97oaOYNGsTah%2BjfCKsZnTRn5TbhFX8ghg8CBYt%2FBjeYYYUrtUZ5jVij%2Fop7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM%2B3SW6Opll%2FwgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy%2BQbSKVJcqkia%2BGvDefFwMOmgnD7h81TUtMn%2BmRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d%2FQK7Cr4uoCeOQ7%2F8JfKT77KiDzLImESHw%2F0wf73QeHu74hxv7uihi4fTX%2BXEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo%2FoVH5ww5OzLFsiTPDns7fS6EURSSWd%2F92BxMYQ8sBaH%2Bj%2BwthQPdVgDGpTfi%2BJQIWMD8xKqULliRH01rTeyF8x8q%2FGBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE%2B%2F7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV%2FyTDRRP8Y2ww5RO6d2D94o%2B6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt%2Bkqdae76ViWe3STan69yaF9%2BfESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw%2FA1zEdjWquIsQXXGIVEH0thC5M%2BW9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF%2BRVmI8L4HUYk4x%2B67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8%2Fp5qIQrEo%2FH%2B1l%2F0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud%2BtJUfdaZ4CWNijzZtlRa8%2BCkmO%2FEwHYfPZFU%2FhzjFWH7vnzHRMo%2BaF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce%2F%2B%2F9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs%2FGWJS6SwEN%2FULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e%2BG2zor8l%2BYaMxSEomDdLHGcD6YVQPegTaA74H8%2BV4WvJkFUrjMLGLlvSZQWvi8%2FQA7yzQ8GPno%2F%2F5SJHRP%2FOqKObPCo81s%2F%2B6WgLqykYpGAgQZhVDEBPXWgU%2FWzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M%2BGWn6ASobIWC%2BLbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg%2Fkpf3%2BCnAXKiMgIE8Jk%2FMhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo%2BRJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B%2BSkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE%2BVMd3b1fhCynD0pQNhCG6%2FWCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp%2FYbHjo%2B%2B7%2FWj8S4YNa%2BZdqAw1hDrKWFXv9%2BzaXpf8ZTDSbiqsxnwN%2FCzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m%2FNCW%2FHILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO%2B5EJ7Z6bCiRoPedRZ%2FP0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn%2FLvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl%2B11PoFYnNv2HwAODeNRkHj%2B8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij%2BbsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur%2FeWHjiB7SOVdqMAVmpBvfRiebsFjger7DC%2B8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l%2BkXRZ0KLZaGsFSIdQz%2FHXDxf3%2FTE30%2BDgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH%2BRptvRMVRaahu4cySjS3P5wxAUCPkmn%2BrhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik%2FzbrTQk5KmgxCg%2Ff45L0jywebOWUYFJQAJia7XzCV0x89rpp%2Ff3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl%2B5tfUWZNwBpEPXghzbBggYCw%2Fdhy0ntds2yeHCDKkF%2FYxQjNIL%2FF%2F37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD%2BqNOhwMlfARQUdJ2tUX%2BMNJqOwIciWalZsmEjt07tfa8ma4cji9sqz%2BQ9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe%2BjGDiNJQLWnfx%2BdrTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf%2Fbkvo8PLVBsZl152y5S8%2BHRDfZIMCbYZ1WDp4yrdchOJw8k6R%2B%2F2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB%2BM4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5%2FiYp3ZdrCf7fL%2Ben%2BsIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv%2BNRiJc8JAKqqgCA%2FPNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN%2FhCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj%2BbYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5%2FzBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8%2Fi%2BjHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2%2BJrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk%2BMz7wwstg6RFZb%2BTZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm%2F7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk%2B9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx%2BwhVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC%2BXYuqMBMUun5YezKbRKmEPwuK%2BCLzijPEQgfhahQswBBLfg%2FGBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX%2BRCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk%2F4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug%2FAbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM%2BZu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX%2FpcsfwXbLze2%2BD%2Bu33OGBoJyAAL3jn3RuEcdp5If8O%2Ba4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT%2B%2Btm%2BhaBCikRUUMrMhYKZJKYoVuv%2FbsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV%2FDMUxd9uFZmBfKXMCn%2FSqkWJyKPnT6lq%2B4zBZni6fYRByJn6OK%2BOgPBGRAJluwGSk4wxjOOzyce%2FPKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO%2FcEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm%2BbddRQu5F9s0XftGEJ9JSuSk%2BZachCbdU45fEqbugzTIUokwoAKvpUQF%2FCvLbWW5BNQFqFkJg2f30E%2F48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J%2B1pT0tLkvFVZaNzfhs%2FKd3%2BA9YsImlO4XK4vpCo%2FelHQi%2F9gkFg07xxnuXLt21unCIpDV%2BbbRxb7FC6nWYTsMFF8%2B1LUg4JFjVt3vqbuhHmDKbgQ4e%2BRGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB%2FKVijd1ARWkFEf3yiUw1v%2FWaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G%2BZManTqDLPjyrOse7WiiwOJCG%2BJ0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj%2F6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j%2FN46f%2BS2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb%2F0jQbaHJ2YRK8A%2Bls6WMhWmpCXYG5jqapGs5%2FeOJErxi2%2F2KWVHiPellTgh%2FfNl%2F2KYPKb7DUcAg%2BmCOPQFCiU9Mq%2FWLcU1xxC8aLePFZZlE%2BPCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh%2FnFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW%2BoKFLvpyvTBMM69tN1Ydwv1LIEhHsC%2BueVG%2Bw%2BkyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw%2BH%2FAuOx%2BaH%2BtBL88H57D0MsqyiZxhOEQkF%2F8DR1d2hSPMj%2FsNOa5rxcUnBgH8ictv2J%2Bcb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd%2FPjMMtQfyDNZsOPd6XcAsnBE%2FmRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl%2FXPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG%2FVanIvcwycVA7%2BBE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP%2FMVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX%2F5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c%2FF1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J%2F5wkjpkre727p5PTRX5FGrSBIfJqhJE%2FIS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug%2BoRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U%2F5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7%2FBQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN%2BnA7pvF78%2FRII5ZHA09OAiE%2F66MF6HQ%2BqVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe%2BhXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz%2BJV%2F4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB%2BK3wBP%2FineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q%2F9uocGsx41O4IZhViw%2F2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY%2FcQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE%2Fom7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi%2FcaHSM3FPRGRf7dB7YC%2BcD2ho6oL2zGDCkjlf%2FDFoQVl8GS%2F56wur3rdV6ggtzZW60MRB3g%2BU1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg%2FgBQIZMG%2FYcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK%2FG7F3mUc3GOAKqh60zM0v34v%2BELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND%2B%2FGTk6M56Ig4yMsU6LUW1EWE%2BfIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP%2FIoRIZ%2FF6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg%2FRrPD%2Fd3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl%2BMu4xf0ezqeXD2PtPDnwMPo86sbwDV%2B9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD%2FOwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d%2FUfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH%2B14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC%2BOA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6%2BvAUUBoGhY3CT2tgwehdPqU%2F4Q7ZLYvhRl%2FogOvR9O2%2BwkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn%2FdFSWBWzQ%2FVYk%2BGezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n%2FyJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET%2FHh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j%2BDXfpi12m1RbzYLg9J2wFergEwOxFyD0%2FJstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT%2FcUP6pE%2FmujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB%2BHEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu%2BvqQ02%2BKpJBjaLt9ye1Ab%2BBbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC%2BUwkXOoAjneU%2FxHplMQo2cXUlrVNqJYczgYlaOEczVCs%2FOCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38%2BxsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9%2Bb8fH6%2Bb8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj%2F0Q7PFUcC8hDrxESWdfgFRm%2B7vvWbkEppHB4T%2F1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y%2Bg3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR%2FRrs%2FJLKXgEx%2BqkmeDlFOD1%2FyTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW%2Bxz%2B5FElFxWB28VjYIGZ0Yd%2B5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ%2BlT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ%2B2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1%2BJpI9psyNYIFuJogZa0%2F1AhOWdlHQxdAgbwacsHqPZo8u%2FngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2%2BRdM%2BMAaYaZ0Y%2FADkbNCZuAyAVQa2OcXOeICmDn9Q%2FeFkDeFQg5MgHEDXq%2FtVjj%2Bjtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2%2FBc0UxvseQCO2pQ2i%2BKrfhu%2FWeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt%2FU0Wf%2BphiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7%2BExseJauyqo30hs%2B1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j%2Fe1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la%2FQCTiVelFnU6O%2FGCvykqS%2FwZJDhKN9gBtSOp%2F1SP5VRgJcoVj%2Bkmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn%2B8p6%2BvBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H%2BgDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D%2FGvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P%2BjAgN5TB3haSifDcApp6yymEi6Ij%2FGsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x%2FpChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11%2Fyxyw0UnGig3MFdZklN5FI%2FqiT65T%2BjOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5%2BbqWiAYiAv6Jsf79%2FVUs4cIl%2Bn6%2BWOjcgB%2F2l5TreoAV2717JzZbQIR0W1cl%2FdEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW%2FPhoawJDrGAP0JYWHgAVUByo%2FbGdiv2T2EMg8gsS14%2FrAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq%2BSCcTSx5NDtbFwNlh8VhjGGDu7JG5%2FTAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9%2BogD8Kk%2FW7QoRN1UWPqM4%2BxdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c%2B4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS%2Bo3F8YVVeikw13w%2BOEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX%2B%2B7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9%2FO53DYi%2F5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD%2BP8sNh6e%2BXYHJXT%2FlkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp%2BpT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS%2F2ToPjqkaq62%2F7WFG8advGlRRqxB9diP07JrXowKR9tpRa%2BjGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq%2Bnsp3YMuXt%2FGkXxLx%2FP6%2BZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar%2BgMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud%2BYlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl%2Fzh575R5rsrmRnKAzq4POFdgbYBuEviM4%2BLVC15ssLNFghbTtHWerS1hDt5s4qkLUha%2FqpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI%2ByjEldJfSo4y0QhG4i4IwkRFGcjWY8%2BEzgYYJUK7BXQksLxAww%2FYYWBMhJILB9e8ePEJ4OP7z%2B4%2FwOQDl64iOYDp26DaONPxpKtBxq%2FaTzRGarm3VkPYTLJKx6Z%2FMw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ%2BlPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k%2FUuGkNpP1DBI5ch%2FEehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv%2BJ41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI%2BHYexTUevLUeta4%2FDqKrbMVS%2BYqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ%2B%2BKkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9%2FWx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k%2F90B8%2ByRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB%2FmQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go%2Fn6j0cS%2Ba2gEU8gIHJ%2BBwfgZX4GL%2BBd%2FgW34FZ%2BBS%2FgUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh%2FF062yJ7AAAAEDAWAAABWhJ%2BKPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Ffont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFuAAA8AAAAAsVwAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABWAAAABwAAAAcbSqX3EdERUYAAAF0AAAAHwAAACABRAAET1MvMgAAAZQAAABFAAAAYGe5a4ljbWFwAAAB3AAAAsAAAAZy2q3jgWN2dCAAAAScAAAABAAAAAQAKAL4Z2FzcAAABKAAAAAIAAAACP%2F%2FAANnbHlmAAAEqAAATRcAAJSkfV3Cb2hlYWQAAFHAAAAANAAAADYFTS%2FYaGhlYQAAUfQAAAAcAAAAJApEBBFobXR4AABSEAAAAU8AAAN00scgYGxvY2EAAFNgAAACJwAAAjBv%2B5XObWF4cAAAVYgAAAAgAAAAIAFqANhuYW1lAABVqAAAAZ4AAAOisyygm3Bvc3QAAFdIAAAELQAACtG6o%2BU1d2ViZgAAW3gAAAAGAAAABsMYVFAAAAABAAAAAMw9os8AAAAA0HaBdQAAAADQdnOXeNpjYGRgYOADYgkGEGBiYGRgZBQDkixgHgMABUgASgB42mNgZulmnMDAysDCzMN0gYGBIQpCMy5hMGLaAeQDpRCACYkd6h3ux%2BDAoPD%2FP%2FOB%2FwJAdSIM1UBhRiQlCgyMADGWCwwAAAB42u2UP2hTQRzHf5ekaVPExv6JjW3fvTQ0sa3QLA5xylBLgyBx0gzSWEUaXbIoBBQyCQGHLqXUqYNdtIIgIg5FHJxEtwqtpbnfaV1E1KFaSvX5vVwGEbW6OPngk8%2FvvXfv7pt3v4SImojIDw6BViKxRgIVBaZwVdSv%2BxvXA%2BIuzqcog2cOkkvDNE8Lbqs74k64i%2B5Sf3u8Z2AnIRLbyVCyTflVSEXVoEqrrMqrgiqqsqqqWQ5xlAc5zWOc5TwXucxVnuE5HdQhHdFRHdNJndZZndeFLc%2FzsKJLQ%2FWV6BcrCdWkwspVKZVROaw0qUqqoqZZcJhdTnGGxznHBS5xhad5VhNWCuturBTXKZ3RObuS98pb9c57k6ql9rp2v1as5deb1r6s9q1GV2IrHSt73T631424YXzjgPwqt%2BRn%2BVG%2BlRvyirwsS%2FKCPCfPytPypDwhj8mjctRZd9acF86y89x55jxxHjkPnXstXfbt%2FpNjj%2FnwXW%2BcHa6%2FSYvZ7yEwbDYazDcIgoUGzY3h2HtqgUcs1AFPWKgTXrRQF7xkoQhRf7uF9hPFeyzUTTSwY6EoUUJY6AC8bSGMS4Ys1Au3WaiPSGGsMtkdGH2rzJgYHAaYjxIwQqtB1CnYkEZ9BM6ALOpROAfyqI%2FDBQudgidBETXuqRIooz4DV0AV9UV4GsyivkTEyMMmw1UYGdhkuAYjA5sMGMvIwCbDDRgZeAz1TXgcmDy3YeRhk%2BcOjCxsMjyAkYFNhscwMrDJ8BQ2886gXoaRhedQvyTSkDZ7uA6HLLQBI5vGntAbGHugTc53cMxC7%2BE4SKL%2BACOzNpk3YWTWJid%2BiRo5NXIKM3fBItAPW55FdJLY3FeHBDr90606JCIU9Jk%2BMs3%2FY%2F8L8jUq3y79bJ%2F0%2F%2BROoP4v9v%2F4%2Fmj%2Bi7HBXUd0%2FelU6IHfHt8Aj9EPGAAoAvgAAAAB%2F%2F8AAnjaxb0JfBvVtTA%2BdxaN1hltI1m2ZVuSJVneLVlSHCdy9oTEWchqtrBEJRAgCYEsQNhC2EsbWmpI2dqkQBoSYgKlpaQthVL0yusrpW77aEubfq%2Fly%2BujvJampSTW5Dvnzmi1E%2Bjr%2F%2F3%2BXmbu3Llz77nnbuece865DMu0MAy5jGtiOEZkOp8lTNeUwyLP%2FDH%2BrEH41ZTDHAtB5lkOowWMPiwayNiUwwTjE46AI5xwhFrINPXYn%2F7ENY0dbWHfZAiTZbL8ID%2FInAd5xz2NpIH4STpDGonHIJNE3OP1KG4ISaSNeBuITAyRLgIxoiEUhFAnmUpEiXSRSGqAQEw0kuyFUIb0k2gnGSApyBFi0il2SI5YLGb5MdFjXCey4mNHzQ7WwLGEdZiPPgYR64we8THZHAt%2BwnT84D%2Fx8YTpGPgheKH4CMEDVF9xBOIeP3EbQgGH29BGgpGkIxCMTCW9qUTA0Zsir%2BQUP1mt%2BP2KusevwIO6Bx%2FIaj8%2FOD5O0VNrZW2EsqZBWbO1skRiEKE0DdlKKaSVO5VAuRpqk8VQJAqY7ydxaK44YJvrO2EWjOoDBoFYzQbDNkON%2BUbiKoRkywMWWf1j4bEY2iIY1AeMgvmEz%2FkVo9v4FSc%2FaMZMrFbjl4zWLL0%2BY5FlyzNlEVYDudJohg8gPUP7kcB%2Fmn%2BG6cd%2B5PV4Q72dXCgocWJADBgUuDTwiXiGSyZo14HOEQ2lE6k0XDIEusexDzZOMXwt1Dutz%2BtqmxTvlskNWXXUQIbhaurum9GrePqm9Yaeabjkiqf%2BbUvzDOvb2Y1E%2BEX2DnemcTP%2FzLcuu7xjQXdAtjR0Lo5n4%2FHs%2FGtntMlysHt%2B29NXbH6se%2F%2FWbFcyu%2Br28H0MwzI30DYeYTLMXIA2EG8QlHpAsyS0EfEToR0a3utIxFPJ3kiIHCCrZ66b0e2xEmL1dM9YN%2FMwS5p01N5jMX%2FBLKt%2F1R83l0LyC29M6%2BiYxo%2FUNg%2FEF7c2WyyW5tYl8WnhWg2%2FhyySbD5UhnDyS7OcU0dnrFw%2BDfGdI7v4QfYIIzOMq9hFtY55gmvC7jZ2FK7sEdrn6IXBuucYhjsGdQ8z0yEbWkkczjjsE5hNAIZrPx2zOLZDmKNXcXtg7EMqidAEEWg%2BSJCBBNwxvxJfc%2FbZa%2BKKf%2BxoKZybnq5vaqpPTye7CiF%2BZFjxZ8%2F7Qij0hfOG%2FcowPA1rT1l4ymWnrKmxxqfErTVrpgwPlz1kC%2BOy8NMDz6c%2BIO38K%2Fx0xkPnLW8Kx6qGAoQdL%2BTD9V9rb%2B%2Fctn%2F%2Ftrxz8dUrZrD%2Fzk%2FferF0cNt1BzctmX2FZPXt%2FjnFCQNz4Ah%2FiKllGiCMs1w5Lkg0kiEwj6VTXCDKsX9rMpnvIj9pcDecXAIXMnqn2dTUbN6w0XQ9ue6FV%2FnnXCH7S3lPWGltVcLsH75ub3ab7A8M28caNrIeOr3o5Q0yFsYL80xaa0EY%2FUEczV7icUMY5pnelAkmUAXmHYjvFWFGxuqlSaow3OM%2B%2FiYY7%2Fl%2FhVELF4EjRqNR%2FbvRbOY%2BDUGzGR%2FOh3EqmE%2FugIQQguGt%2FeMYz%2F%2BL0cimjeZfQDI3phXMbMQsqH%2BCjwVz%2Fhf4idHovgVmB8gLvjbicDcC%2FNypP536E%2F9N%2FpuMibExdohBmNwyiaZdJGoigos7GpF222xrfnZhML%2F7Z%2BylaqP63Hr%2Bm7bdUkQ6%2F2cXqdfmvwixY%2Bs2ksXFeXcE%2BiX0Z%2BIow76DBNgjJ7TOdUK18iPsPflfQD%2BDPsZG2Aj9VmKMMJ4fYRrhIaxhTDR0Elh2vA6h%2FAE6xUb29mj3sjmL72petXjejPy%2Boel60M99tFduCI59N3221xe7apOvxs6aHs7vab1IqY2tv7q2xsHeHGml%2FcV06u%2F8S%2FxTjJ%2BJYc0bWEX0ukW6YmIbGkJRMdjJ9mYIH5QIdJF4hvRGyK7cC7ctImQRcUET99fGXOoft35GYLMQu%2Bg2smnkgZUrH8AL%2F9Si217IssJ916nv14ZrJrvdxLkQvrvtBcjgPC0NXOicO8Qf4mcxPqh3hgUw3DDfdvLJXngg7N3dN2zbPJSaed3OfZnMU7dvmznp3C3bruO%2BNmue0LFsy7S%2B6265%2BfCKFYdvvuW6vmlblnUI8xCXp37CrOZv4B9gauDBlYp7adcUXB5DNCwYImlXOJJKkAdvExXxVvKEYnCo%2B3eIskP9qrrfIYs71CccBjfXRC52udTHHdaP1A1ui%2FVvH1otbrLrpNXBsGX5B89QghDyimlvNB2KfkxZ5C9%2Fem3%2Bd1%2Bd%2F%2FIfFp2%2B2Oxn%2Fs%2B9n%2F79p39S3s8idN6g0yZObwJOgKUpNB3GyU0Ls0PbRzIRq4lcarLKOJBkLRzJQD4j2090XrbA7DW8K3jNF5hlGS5e4V2D17zgss4T20egOJte5iD0bReM9yjTxnQxCRj3c5kFzGJmGbNKmwGw39IJDJcXJZGMkaAB4jyJAKw0jt5IAuIE%2BA%2BU3cVAZZrq9zhDyBrU8oosuxcGNTzCKJfla7JjNVmuSb%2F%2BtuzN2H%2BX4vlB%2BPpdfMXXmuVsNiub1T34SFbjYw5itEvVi0K0Nt9pNJUMI7SLGRhf2xipfCYf8z5OdlGKayOucFeVPeS%2Fdbo3lBrbSMmwUiQN5%2Fed7g0Ds1s17IuZC5kNzM3MZ6EWCa0DtekdJfAxz%2BR%2FOX28sND7yRMTBcf%2B%2Bs8mQCQWHya4qBv%2FufeMoWyslPA9DtMxUknxkH%2FyfTnm2CMYzs%2BCq3r7PxY%2FMXomrvTEsRpfEGHa%2BWN8E1AHjElb7d06ddA7oK%2F%2B5Mdsv9EtPms0jv0Z5kf1FqPxWdFtfFr0kHfgDX0Y%2B5PRSG7RUj0tQr7rmfX8DH4G5W28kKeJLtmQsQkuwMP1pk16EV4sl7vrMJATfyUWo%2FGwEco4rh4XFQgaiUX9qxZHrMQqKnz%2Fc2d8b9TysYrAuXpP%2FRf%2FGr8b1qwwc5a%2BeuLa6S6sneNXToG2XrEJi4R5SGs8Sq2S3d97bsfCRaTdaLwKClRHt37mkudvXbjwVrLhuYeGhh56bvfQkHpk2CwvwClqgWwuBfndC3c8dwmstj81KkagcUgbfPY8Zje0W%2F82VPWJHmSq6pP8hPWpotc%2FEexDOK3qU%2BwngPhOCiO9MJRm8TJefjelrzoKnG2Bn%2B1NCUmPE4gHFmBN9jrTigRIpsACrc9Gstg58ULkp9467%2BGf%2FeFnD5%2F31lNrt2967dhrm7bzI%2BVT5m%2BfzKhvf2MzpICEm79Bopkn07lt1762adNr127LwVqQLdJ5%2BlpQDcvHPQtVY5knhYrK6q8%2FJsiP6EuhGZdFdaNszjvpqvc%2BPI0CdjN0AXsFOC3ZfALDJwr4q2Xq%2BGF%2BGNbsxUg5NLLIEXi8otcDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg%2BFB1ubjlnRNvl3o6IEU2w7fdNPhm%2Fhh%2BFLysUu6%2B%2BDLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK%2Fm4szFFR7ch0toUgBTdWHr7EpaWru6%2B6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d%2FjLST9v5YflasP6v%2FCO7%2BGNAPC2BMZWmsOjp2NNbfHwMCJD%2BLPVL%2BD%2FOYlWEEI%2F9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2%2BbBDWBud1Va4pcCn8CPqxlh%2FfgtG8IPaPH8C5wk6%2FnZDv69jurV5QhtwE0x2iqOsj9Mx8B9%2F0EaUdiPfOYYDCi%2Fq9jhWRuupMDEU0%2BCtX0sDFxv07T%2FK5niBPqN9%2BtQjgEc31NGCXFeMcCEuQBIc%2FBK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF%2FR0%2Fu5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y%2BRBgogrXPZ8E1yIHoHIFUM%2BAbJhE7lbMtt8ApL%2BxmZW7PwbjAO0fAVoXQOuiSP%2FksIVdFZ0aulsamKUzwPZ%2FNYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7%2Bpg%2BjUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd%2FJ5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7%2BRHJHP%2B2hqfugo%2FMvI2H%2Fmqr4b9tFnKSRY1Y5Ek80Nm%2FWIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw%2BnSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv%2BrWa%2FWih0vlbX6Zb75T5C0qNKVFvH1QL%2FvazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f%2BXdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS%2FxTo%2BP5wGFak62ap1PVFFN4v%2Fy%2BxuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f%2F6dhK6gQokFKhWX3urrjk%2FrnI0pgfpGMeuQIUaEM7%2BGF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x%2FGdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY%2B9yGFQtEo0GQPNv6vS2drj4%2B1jHbv3aJSMUWP%2BQTZrmbNTjU8wyG%2FiXNNpskybLcJ3CiTF5Ir%2BJYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d%2B%2FXeNRTZ9%2F1OPfG7%2B2hwzd5W3D%2BhmyjsRcUg%2F%2BCavb%2B%2BVh2ls3L7zT%2FetOnHNxeerv313vzLVqPai4nJv%2BK1FC6040%2F4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk%2FU%2BD4gTXW%2Bj0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7%2FR561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l%2BWKHmLTJwRv9E8GWJ6dYvf%2FFmEyEGr%2Bgyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b%2BtMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1%2BQ2BIRvf6J6Kgatnrbiem%2BCFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ%2BCuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih%2FxELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD%2BuOe%2BkWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby%2F%2BSSbPY8%2FNH6vpl%2FEsq3Ae4ZU1HC44KFiI9o7CEgab%2FRqHbj7s5KAg06s39ZP%2FzxI%2FmVuF%2FTbTSy%2B3Fb8If9%2Fcv7%2Bwt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi%2FC8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0%2BXxx%2F5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB%2FqM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J%2FUKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc%2FTHK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd%2B%2BU%2F3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg%2Be4As38MfGquNt7oUws6Ysarj1%2FefE%2Byst86YUVNvDdts3Pv5c8m%2FaP0C%2Bf8%2FQb%2BIMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT%2Fv27wm09jRYVc%2Fe%2B%2Biyx2tyzJb%2Fn3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy%2Ft27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj%2FS5ki1jL%2Fa0GC6%2B2L6Um%2BaoddlNFuj%2BbJ8mH%2FiaLh8I0%2FU51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz%2B1UmhTJyJGxZzw%2BwsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ%2F9pPA4RKTASWahmh%2B8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ%2FtHnODtENw%2F2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8%2B%2FElg5j4Gxur3J8o2PJ4rg%2B2d08T%2FfwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r%2FaMMj8onCP%2FDuDZOuN%2BGPPr%2F%2Bp7bx%2B7JlbYdppcNhzKU%2F1Px5aiaGDn%2Fs1iGMaBcleKUo%2Fv9rcxkZj7DBEKOfrayytXNLYiUdBY%2BpleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF%2FQa9Pdf%2FQqOSqCiE%2FEE1%2FXIVKTc2tzWbHnimrEd%2BVyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu%2FkzIdx%2BBxC0ay9zRSvoS0F2lIxI%2BX7klU63I40gLQ3w5ep5na%2BSFnba3z5D64zv%2BQtM4n4ffG3tq4aNHGRfxgrXPMim%2B5487abL7xhdseIRn1KDl%2B7aINixdv0OD%2BJSPwKf5%2BxoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz%2B9a%2Fv2PH1Hfz9236w%2BZrPXvWfAxlj4NLLHpq3c%2FPQ3uvmvbrjG7fe%2Bo2y%2FcLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF%2FtkkOGPW2ibWaBTkeZ%2FdvPWazXfOnnvL6jkRXpi85sFzZt%2B55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG%2FyVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6%2FOU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR%2Frg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x%2BMJiOA3YwhDRQrWU0u%2F0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0%2Ba0uoiFH%2FxcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL%2Bj3D%2FuwhBRdyAyozeZwvQzs79soi%2BBKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo%2FybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM%2B3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho%2FVDkzQfLE%2BIrYoJXkD19pdP7OwG%2FvoIUtagiWiZ4PAFTHHlTVhRZ7dYmPar%2BNJ%2B8JhmR6DFK5DV1foHoLNO%2FpHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj%2Bi5%2B%2BWZfKeViJfW5HnUakVL4UCNVkA4%2BETfIqx4B5xSaP2L1yn0zn2ltPn4%2BOqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL%2FNNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE%2BcPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP%2BKps8J9%2F3mGQIteY%2FLGPC%2BL7872SPR2br5fy8MtKBMHedGuM28%2FMZmPJMrGgi3Gb1S%2BSi1%2FL%2FzrZwO9XH1ce%2Fz7ZQ1WSoY%2F%2BpMb5FT4ua0Wm%2BJf%2F298nFmChEQ%2BTi71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa%2F1IFO1%2FjdWr%2F8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc%2BKJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3%2FtM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB%2Fyox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt%2FqMDnvLpPNTXfNa60z5%2FyjXQOMq%2BlNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd%2BRiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb%2FpBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap%2F30lnVESgNnvjbUoT6w9N%2BXoio0qcYOIM%2Bheg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X%2BPE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa%2BdAdAbMYX6HVF8A%2B7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf%2FNf%2BNy65BhYxxxV%2B77XJ2wfQ389%2FIQPgajXbwMsuAz%2F0IaQcXJavKbRqR2IqyZruXjVC2%2Bhdee%2F5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab%2FwXl2CNe7s%2FqCtTvWgG5kpBmCBlSzDS%2Fr8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8%2FNCfiOUVirYcBbIeA2%2BiF68rQIo3B%2FS628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935%2Bk1efkV51mzzrM0LL3%2F20avnwMeKuWyOUZg2TasSqZ%2BKcZQiOn1Iu2Vh497ALUVZiCKt%2Fgh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1%2FuzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb%2BokJ5JRDyf54Axur1D%2BWS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt%2Bt%2FqW2%2B93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz%2BtJo%2BwijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF%2BkuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj%2BZ4i%2B42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA%2FhRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz%2Bx%2BFkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3%2FRTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY%2BuSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN%2BfiK86LeXj%2BSc5lPKy%2Bk%2FvCUI%2FDaLFYCWHr6nbXuILTIsb5imNKY%2FrCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T%2FyOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH%2BL0eCPxmsa5ZpgRJSDZ11yDv%2Bjmbd86vxZfc1WcZJ3UkMq1BOOOVtvu%2F%2BpB%2Ben186d3GTwWAw2jheaJs09%2F%2BLNfZft37DALyrNj1wABMuUKbODyTVnT%2FKYbJ3Tpq8IrNh92dkxOj5P%2FYpZx4%2FycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB%2BcV99%2FeTF6294dA8%2BTK6v74MHVpYNRt%2FI30e8QGTOOdfGWzzxcy%2B87a7bLjw37rHw1nPzp0KyyRSeZO%2BQQhInt3dYgvycjrPOv%2BT8s1rptaP84VeywdWX2T4ysr0%2F7TLIs6%2Bx9zib56ye1dM9e%2FXsZmePY3NDs9zlnNVt4%2BWgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS%2BXPplV2ts4bvCwZu%2BKzgITtxepaPRzWdpv74muvv6RO0SorX6cu%2FdqKn%2FXWnrtp%2FZragz13DUCl5myiFW2Ycvb0PtsXnU%2Btx8pvLFbUspLX68mdegwmOif%2FNPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3%2FjdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx%2B6arPqbkcNAHoFPzKUUQ%2BqL0k97pjbZv1I%2FegC9zTFbrrlFpNdmea%2BgIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV%2FScS%2BzjlASyUTVv%2FAJ46gkJI4bHX4lTnloctxPZE1ckS3%2BjG2fKIjkQFyzuo8jvYQG1OrGvJPSTu%2FnSp9PHNTl4z5hK%2F8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt%2FwkSx%2FJCmP5%2FcBKQfl%2F5gd%2BrOS%2F%2Bp91%2F%2BYCg5CXK2W4M9fu%2B%2F6xxX%2BvnelVuldIDCG0VQTpU9Dw4pRfei%2B6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15%2B5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl%2F5bqzYqT9hMmptEXDgTqP3Wiye%2BsD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC%2Fv8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4%2BTi7W9D%2FOZrLChdwxmPNiBRqVjnpK%2FaGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3%2BOfU5%2FieLS%2FNuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD%2BN2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad%2F3t2KTtPobnX6D8C8pd0MDP%2BKx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE%2BJGTS3JoEhTrz8%2FCB%2B5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk%2BhtwN5A0V3RCPoD%2FyXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps%2Ft%2B0iCT3AHVtZC7JDCXfR7OSb%2FXja5H3zQbZL1B%2BULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset%2BnQWdS%2FZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5%2BLhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW%2F3Q5Nn8BZEuzqEI7HK3n0%2BzFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj%2FmQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2%2FBWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY%2FyCZu%2FAmd5Or9uS3DYaeqVOhH7gZN%2F8I%2Fwi1fEuLXvyNivibjuKvN%2B1Nc01HF%2F3h%2Bef%2FsOhox8MPd5SFucPjorQwXT%2BytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP%2F79nbvCXFOY%2BPUjrT7%2FotsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9%2Bpbs6E%2FVu7Nk642%2FPYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu%2F19%2F5QW9Rv1U1ridT22i%2B53pzumbs%2BXFFXYC%2B%2BCGsTj5JUT%2FGCgRt3n78i2n71FHG4%2Fu6X%2B%2B9%2Braya7os3ZbDmgWfXun44e%2Bu2NZKuGZ0HiF8M4TlMPR%2BEU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l%2BuXrbjPUyep%2B8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq%2BNzK%2FOKSbsfl79o9G20R%2BbrBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery%2F7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1%2BSdazRrfddkBU98t1htvWrbjqSqjaCguxrffM%2F5zDCpBALUycmajhd%2BR6ww4SWafuZ5eU%2BtPid4lgd3gt%2Bb%2FY9rQoZNmiXYPXyRHbRs8zX%2Ff4WIFjWZJtUdSD55AP3xtXH%2BZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy%2F8F0GoqYPv75Yh9j3x4DuJ%2BuEzHRpAq2lMqb%2BqfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT%2BLUgx0Pg%2Fp87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv%2Fu9ZUWUx%2BPYFueUKwaNvbtu%2BXps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L%2FBehXuHqfaBwBEU7hfVLcXvS4VQv%2BT%2FvaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq%2Bk4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S%2FtkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP%2BEaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP%2FdsZ8%2BfP75D%2F9Uu5Gs3FY%2F2SxPld0DHOciXI9gqjcEidXjE%2B3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8%2BLTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7%2B%2BwW4gRDRbaxw2nrOGm%2BxOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot%2FFpHvIUjJovFEoYvHYV9C5Y%2FxN9OfcalvII37UEhTbTg%2FAQIaPb4Vz6j5u8%2FaViycMod%2FfkDcpu8QZbZoeBi%2FvbzP3XPsZvOubMtaPHkD9jt6%2BU2O7vqU%2F9C9SMvgrXpQNG%2FE0oJxun%2BCiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp%2FVAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y%2BpGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr%2BP2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr%2BP30f3OkPQ72aO0xYo3%2FEsmO3QO5qEF8S0qQH0UsKXv0brnl9%2B8M7jF174%2BDsfvPOl1au%2FRL5%2F9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x%2B4ofw%2B3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ%2BpYl%2BSf8YcurfmXP5F%2Fkj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0%2FOM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw%2B1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g%2BRn533qkocdvLs2HmhU75br%2FMmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3%2F3pYNi3bS%2BRd%2BGjOfVpAPNd6y64Gsz1GaZleWIPoYL%2Fv9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk%2FIojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB%2F36kP%2BK38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL%2Bx03nhh%2BoNo5e77psxg9Q5LzebIKD%2BfsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O%2Fkdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P%2FF7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF%2FBRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm%2BRdmIJQST%2FZfVdudUvh9S%2FqqNvqT98g9SQ3lHibZY0mRVHooyDN%2FFHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi%2Bd0s4%2Bztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr%2B1VZFcEZ%2FPdJkn1hOs8SXS%2FNFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq%2Brbyg1Z%2BO8VsNC1UmcvORPRfxtPrfRwL2p%2FoA1eZp6Z%2FaGffoewaXcA%2FxBlKlQLfhQL%2FoPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp%2FbXh5e5YXW2Ngfvza0ZF6UgFL%2FE0fTq4LBlvTE2qb%2FKuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8%2FVWi33c3bBZnGY05%2Bdm%2B3qc7fNmj4YGKLj2nfqFP%2Bg7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j%2BSYEWHlZ0K%2FHgsh%2FZtsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D%2BYVyKd0jw3iumwi%2FBC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc%2FJ5uGm6CViW5mulYMk%2BHqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br%2BfcLyoAyu8D9B7bgmzUqfFobF5nKnK4%2Bt8MPJkI%2FxHUNWk117jugWF%2BxazTAALQn6%2BUE9lhoI5ApGA%2FiuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL%2F3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n%2BjspIsHFjJrTOdzSMuOa9DbDcj%2FnH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U%2F8JbJZPJJLBLolH1La%2FRbF9AbC8JJjv%2FmMnssKjLRBJyqj9QXxNko0Ux%2FX79epfiXkm6fmKwF%2Fen1HLc6LxloXWKvGa5rVCVL83VuiPcDEX%2FK5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS%2FkTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv%2F36k2sbqCeCFNa%2BURpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR%2BD79H56NOz0EVWCTy2%2FfffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ%2BT%2FEl3uZqL%2BFyzSZ8XxpTiI%2FG0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ%2BeuOeG2SORmKZr%2FqKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya%2BvlKqv6aXK1qIj3imL%2BL6hL%2ByvUlFfE0VKZ7E8gBY3M%2F8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry%2FLgZIlCeP11Z4zs%2FAwvVwtGFEut5S1JY4lfyT0N%2FevOLo%2BrUEgjcqc9IkGpQbv3iW7Co5b%2BKgjvpzYdH85PLcc4X21ouwEGl%2FS4qnUAvoSlXUUhR1eKr2VWFTB%2BGMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH%2FqPepXQ0Db77CJOAImohB%2BRPWr31ev5g%2FkE%2BzTa4lbvZo8xdWPffQu9yJTPCNB66s%2BzXoJt%2F0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0%2B3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80%2BUxfUHPlBZIRVNQ%2Bv0xRm8REKPoLmNr0%2BUo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV%2F%2Bmfr0C0r%2FNkeXbbpPlOTBBwT0mVz1zx9S%2FwJecBF9Wgv3p032iP2v4VSgfgW2G%2BHUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt%2FQRasn2kri%2BH6L80MJRsmVYJrAKyDItpJUy3%2F15WYIJqcJ9Q5N%2FLFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb%2BIP8gHed%2B6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha%2FfJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG%2FXbOFz%2BTcq2MLrcmV28Nmi%2FOHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw%2BluPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs%2B31Wm5qpH%2BiJWSzqdPr2O7zc2TmtnrzCig6bBd%2FvgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I%2FMAp9q9S3Q%2FclADNm1wEeO%2Bxbwg5OIYHZLY3ehG5lJk2xhco%2B6JWybpEVz2wrR6hZyD0QXZbeDVB%2BonmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P%2B1fAll%2BSyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y%2Bcf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY%2Ff%2BucuMtCuP%2Fe4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn%2F%2B7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7%2F6B23%2Bf%2Bsp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz%2FQ0hI0m3NKDRfkgsrnamo%2Bp0CAq1FyvC3a3Nak%2Fs5VX282x9Ufy3E39VAx6o7LpCvO2wK%2Bch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5%2BjP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00%2FWavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR%2BgufwA8GegxUEo4A%2Bgd0BASHiH6jYMLIsUdQJTs%2FC641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW%2BAMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA%2FxUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA%2FE%2BDXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX%2Fk%2F7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh%2FTK18StOPhwG9Xo5mqXAxvw%2F79YQwwDR%2BnAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw%2BoTFqxtz8dxwtogBnF9MjIl%2Fin%2BK8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O%2BGC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6%2FOC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx%2Bv1UKPsfvzQU0Kc83i2VdILmd2%2FyX55zT9luN2%2BCu4nKfwPcK%2FCvDVU%2BpHh8%2BLaldIf1fA5h3ndT6Fln9%2FW%2F9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW%2Fuib%2Fud%2BVK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M%2BVG0KsUdgdvpgP%2F6NqqP0%2FgHZFUfGEijZLHpiIgvV5%2FBltrj8Qd7XQd5p4P%2B7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z%2FvvacG%2Frjpsvnpzs0B1Id6fmX8119l88XnOxe%2FuGrzzHcdu7UtY3%2B2vmXN5zUyj3ZcPl8p1sZSs6%2FnGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q%2Blwg1RdRSpFDNzosb44YJXnAfoEOpZW%2F%2F6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21%2FBWW5DnPQbn2X1WK43%2FaM2n18DfSoybbNHijFpamzXI31eRibGUOxSu%2FlT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO%2FVjC%2FEinToFyoNDz2p9XD6g78WgQdPG7Z3R0T%2FZ5dTM9lsL8Ktek7szl2L%2BgQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T%2F4VeamYPlLtffdQsk%2B2sUTY%2FzDXl%2F05W53%2FBz9UK3p7LjapZ2ZxOm%2BUlZXrL3HHGqO8%2BwVroDaCTTnTxitMxmiAAYQzVJQH%2Bnj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj%2F9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz%2B3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62%2FqN%2FtjQxnSnhnKPw%2BLNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh%2FLvQZnt0evgIhTFV0kE%2FPYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8%2FCj1Y9NY6cnGVW0CjTLaz7E3epvaT%2FLtTV72Rs%2B0WVVmd0dz%2FMGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf%2Fz%2Bfdka%2BeKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ%2Bbewnf18ap4Ib%2BmSMrtDU5zqlD8QANa5MBGh%2FOwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq%2B7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2%2BYuMbmE9dwGYB4KFTsvnDE6Ah47r%2FfE3AYI%2BoXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU%2FA%2FJsw%2BvWDa%2F7emewLaoeibaF1B9qUNnuqWK3%2BUfXYVL1v%2FomD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk%2Bgk8pL0mcCDOn08MDAQlf%2B%2FSlTZ1z12fnqntOhbOTL9%2FZdevbAPN%2Byby1f%2FuUtC%2Fixm8ZBo59LTXEW060hGrTDplNprWd58fwB%2Fb%2FE27BdS%2Fs7U%2BrGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt%2BKh6HN4ti6lxIhT%2FwahnZtWwzlY9QHQ2c79C%2BdxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah%2FPFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn%2B2MnYv36dbMDBTonl%2FT%2Fma5IKAyEGz%2B4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK%2Fyp%2FgLEBVat5WnPDdKA574ubuFJ%2FIUfZ%2FY2Nt6mN%2BZNNTSTaeI56gKwkXerTe9DDHUw8%2FH35FY3nNN7GGuBKWhrV9ep%2B0k1WjNWVaHkW1yA%2BQHWNu8rtBw2a5YXuE40rs7%2FGA%2Bj09V3hA98yRnFPOGr8ltGlsFdD%2F7tRce3LH6Trcneuiy7K7J3khKu%2B3qUaXPWaX7T6%2FKfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM%2B0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz%2BXmcOs1H31U6cC6RTVLfCg7RNBF1UF2%2FwBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH%2BWC0E1qOGtP66s1MYv%2BVLu8%2FXFXvV%2FZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86%2F1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp%2FlYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm0MhG1%2Bx1SXwLpFi53b%2BaHRYo%2FIrbZtuWAKu5cSEXfybnnmUCaXGTpQr0xK2O2WWY76f%2BnAjNVf7nCZHU5XqIkTnpt6VtvsFlPXg1031g%2FVRdpkkyVpD7jnmax88QwDvg%2F66NnMRdRXTcGTmQc3cuINwN5IQqi0yzb%2BYFVHuVqI5s4ADfg5oE4ybDLd28mFSFmYvRoomsWXEdLU2Wl3GJy93ZNb%2Fd5gqmNaqJZSO1l6PVRy0nZIj%2F45EetjLguh1rLqR%2BSK0hO6NrsqcNX8zoUdjQYDJ7tb4os6%2Bi%2BY0qpY2AWlnLRDWdGFTfGY1gV0zNAtJ7pdo24se0D88AwLY%2FgZmE9iuP4V5v7CSR%2FRThaHLh%2BUeBkXwU6BC7lGOevK65udTv%2BtS%2FPfW7qj3ljTcj3b9OkbV85t8xsMj7Ddj7DGpthZKwKPvso%2Fc%2F1K9aLE12fMWLV1y1D9ua8lyJdWXr%2FbG%2BnoCFutf%2FmLILe39ITUV4igr3876fpX5g2zeB52sWnIL4fXHlgeUzOx5QfIvJQyrKQE9wHUqVq%2BPEaOrz0wVvNbJZVSfsuMzxN4l9PkedFzw9V5Dj%2BnzpgoT4ZxCxJfC5RWLc74YVHxKlExCYt0JAOMatREhHBSCAtSfod6x6Ls8HCWECLwXZ9nd5Dz1T24JUdWs6fU3%2B%2BfcnT49Qe%2BkBs%2BwdsMZgPXMp3U5S958snPP%2FEE7bvkOPCuTUDTUQ%2FUzirLhML9yPahoe1D5Fj5jWsaoveyP00PehdUAHk%2FseDVWsvDWXXXsyn%2F4wfpXc2V3%2FQxli3jl%2F5hj%2F83avSCfpTNxOEKLmTjxOEKuxgNlsQn0xgct724mhynupNW1Ph6o3RYS3%2F%2B2TJrzLlkFz%2Bip3qCHKf6eqW02QJLjBYuuj4sobhCWqa%2FYHGEHpcnumuWSOhxeaL7sOakNR6vvmo%2BYcfFA8UFXEPZf9UjyudIOyNwx%2Fi90DdsujS%2FFX2UAwvWSVK4NxaMhAGw3oowp%2Fuc8CTi7D2rBgZWwb%2F60faR7SPsEbjkXy4G0XaqhXPwe2cePjxjxuHD6ssQuR1fq6PF0E%2Bo2t1nePTn8TUmxz%2FA3crMoCc7egESuoTHYc7mYdg6etORoOhR7BBGD%2BqJopELrl4S6cJNRtEAsLP%2FOdvnJq0Wo0GolY2Et9VFB2Kf%2B4bZvVyxfOMz3WdFfSIryj6DwWghre7aQbdiDrkTL3A3vNDuDpk93HqXwam%2BbWmUJZfNn5ozKV5Pmmq8PF%2FjVY%2B2Tlk2M2RzSXKjmbQ4RZcQavEYrN%2F9rlXwtIQqzxQNMzPPfHYLvuPoO9TbT8bpGw5CQPGd%2BSyX%2FCyf0Vxjd2R9NmsunnXYa8xGHzn%2BsSfM5J0y0DZEXWWxkXjcR75KBLNLHi7XvX2G8VOrf4Ykg0AMdBESIpo7MgAfyakA6rkqpI6UjNs0px7cMV%2BD5BF49Tez1VGnYmq0WIijp985m4Sn2gJR9b07riPPFo97OYbUZbxJCpot7H%2FlpZBicglCPN7WOfJkcHqc3ElWqvvz%2F1E6bIQrG%2Btz6WkM1SM9FBTR7FSs8KyBBytSmNEoquJNFN5EQyTiCrnKDx1h58yxCepPHU5nxGoxEQeeOZi2m80DxNxncVhr6BmEfUarxejw%2BWSiHhWk19bSY7aKR5MsteblJpfTLtjimBouXsm3d3djjYM%2BwEW0El9dM%2FueVRWIsXwe43R7SgbVZqrnqoJ1X%2FkuF7pcgf8duv4q6vayV5U9zMV91GxO59UUjW8rHV6u799WzKMT7umRCXbYUKM%2BfoaCcwgaoqZUtmodV3p%2BX7akb4dnU9B9La38RPFUG2SCC90tVA4XwEFhyOpZZrUCsgWYHsczLFBBVGNtstoN1bw0Z%2BO4fYIbvZVt4EUcJEKOhHeincWqONw%2Bq6w5Go%2BWGOSR7LhKV%2BKBqbBPpfUvOf9QqkpDyVhBeyyZQGMsdA5FBUqvFMtUyGq9vjnsAJU4UcrxldP1CCaofyDkSAifoP5QwWx%2BSyUGxp75BzGAvtG7uQ38LehlyEQMeh0TeE6Bm7tYdXqdkt0uOb3kfYlNwmOdDyacOq%2FqlFo1v%2BPTmTi3E%2FglC9W11b34A22zmLzvb231Q0L2Bgg60OTW4YdstO%2BYOJnO38TtpH7zy9ymokWyA79qlVSn38HtpFlImFnhu3b4boNWXklOXV0Iwo7lQ1hrZyPFcwtjwFP7iEKSHSSJw509kh8kj6pr%2BH1jR7km9vcvqN9657vffefkv%2BfKxge1X%2B7RdjYUPIESN7gTvRkB%2FRMYtEkaVkdHApmdBPpnKmz0n1xSWFOyVIuLrinZwpoCRe6kyiVZoHX088F%2BUX4%2BWKS4iBTP0IWxGtZgOdMaV4KTayqHQF%2FVihBwTbgDXTCmKoOBJeNhwJMzEVjtjIFLuU38fPR7hqNG1JS7g%2FqRCuy3vmQ3W9Vu8qbVbP%2BSzazGRJH83MzP90Ck2m31mMjP8TiLn5uwD2Ugr2PFvPQjB5BnSJvQxGQZZEB%2BLopqzGzDbMmbkAPkZVJjeO5FzOSBKCgJze2ZS4Gemc9twrwY6u9H61iUQTcRvtdT9RW3tRxAWwFs2tcuJRnI6xjmBdWjbgFNRHMHiF1uHYBfUR%2Fut5Ug2jXAaT96%2B9RH%2FFToRwIzGbKmVJ1AZQnoabSB1yyIg7ByAridHApPMjyw0OiV6RjSbCuzwLAvFizBliWJua1tsuAgvNPbmljYbpt8lkWam7b3XZiOiKJskMOtmfScnsbPW208knwjuXrXK4Q1iKIgNyYXXDVT9C2Ye%2F78GQ5BEEXfFdde2RwauOysdJNL5AzCy84ard%2FnGAVN8alecnFdgu5Gbd5DJTL%2BhHZK0vApVy3OfU8XTSJg1TlssivsPYUlIqvn66PzrVTymCc4wgF6SDNR0pDf%2B9Gp%2BVnsUH5WtpHYsuhOaey8zdwLN47V8MTbm78g687%2BP3cx6tcAeNpjYGRgYGBk8s0%2FzBIfz2%2FzlUGeZQNQhOFCWfF0GP0%2F8P8c1jusIkAuBwMTSBQAYwQM6HjaY2BkYGAV%2Bd8KJgP%2FXWG9wwAUQQGLAYqPBl942n1TvUoDQRCe1VM8kWARjNrZGIurBAsRBIuA2vkAFsJiKTYW4guIjT5ARMgTxCLoA1hcb5OgDyGHrY7f7M65e8fpLF%2B%2B2W%2FnZ2eTmGfaIJi5I0qGDlZZcD51QzTTJirZPAI9JIwVA%2BwT8L5nOdMaV0AuMJ%2BicRHq8of6LSD18fzq8ds7xjpwBnQiSI9V5QVl6NwPvgM15NXn%2FAtWZyj3W0HjEXitOc%2FdIdbetPdFTZ%2BP6t%2BX7xU0%2Fk6GJtOe1%2FB3arN0%2Fpmz1J4UZc%2BD6ExwjD7vioeGd5HvhvU%2BR%2BDZcGZ6YBPNfAi0G97iBPwFXqph2cW8%2BD7kjMfwtinHb6kLb6Wygk3cZytSEoptGrlScdHtLPeri1JKueACMZfU1ViJG1Sq5E43dIt7SZZFl1zuRhb%2FGOs44xFVDbrJzB5tYs35OmaXTrEmkv0DajnMWQB42mNgYNCCwk0MLxheMPrhgUuY2JiUmOqY2pjWMD1hdmPOY%2B5hPsLCwWLEksSyiOUOawzrLrYiti%2FsCuxJ7Kc45DiSOPZxmnG2cG7jvMelweXDNYXrEbcBdxf3KR4OngheLd443g18fHwZfFv4NfiX8T8TEBIIEZggsEpQS7BMcJsQl5CFUI3QAWEp4RLhCyJaIldEbURXiJ4RYxEzE0sQ2yD2TzxIfJkEk4SeRJbENIkNEg8k%2FklqSGZITpE8InlL8p2UmVSG1A6pb9Jx0ltkjGSmyDySlZF1kc2RnSK7R%2FaZnJ5cmdwB%2BST5SwpuCvsUjRTLFHcoOShNU9qhzKespGyhXKV8SPmBCpOKgUqcyjSVR6omqgmqe9RE1OrUnqkHqO9R%2F6FholGgsUZzgeYZLTUtL60WbS7tKh0OnQydXTpvdGV0O3S%2F6Gnopekt0ruhz6fvpl%2Bnv0n%2Fh4GdQYvBJUMhwwTDdYYvjFSM4oxmGd0zVjK2M84w3mYiYZJgssLkkqmO6TzTF2Z2ZjVmd8ylzP3MJ5lfsRCwcLJoszhhyWXpZdlhecZKxirHapbVPesF1ndsJGwCbBbZ%2FLA1sn1jZ2XXY3fFXsM%2Bz36V%2FS8HD4cGh2OOTI51ThJOK5zeOUs4OzmXOS9wPuUi4JLgss7lm2uU6zY3NrcSty1u39zN3Mvct7l%2F8xDzMPLw88jyaPM44ynkaeEZ59niucqLyUvPKwgAn3OqOQAAAQAAARcApwARAAAAAAACAAAAAQABAAAAQAAuAAAAAHjarZK9TgJBEMf%2Fd6CRaAyRhMLqCgsbL4ciglTGRPEjSiSKlnLycXJ86CEniU%2FhM9jYWPgIFkYfwd6nsDD%2Bd1mBIIUx3mZnfzs3MzszuwDCeIYG8UUwQxmAFgxxPeeuyxrmcaNYxzTuFAewi0fFQSTxqXgM11pC8TgS2oPiCUS1d8Uh8ofiSczpYcVT5LjiCPlY8Qui%2BncOr7D02y6%2FBTCrP%2Fm%2Bb5bdTrPi2I26Z9qNGtbRQBMdXMJBGRW0YOCecxEWYoiTCvxrYBunqHPdoX2bLOyrMKlZg8thDETw5K7Itci1TXlGy0124QRZZLDFU%2FexhxztMozlosTpMH6ZPge0L%2BOKGnFKjJ4WRwppHPL0PP3SI2P9jLQwFOu3GRhDfkeyDo%2F%2FG7IHgzllZQxLdquvrdCyBVvat3seJlYo06gxapUxhU2JWnFygR03sSxnEkvcpf5Y5eibGq315TDp7fKWm8zbUVl71Aqq%2FZtNnlkWmLnQtno9ycvXYbA6W2pF3aKfCayyC0Ja7Fr%2FPW70%2FHO4YM0OKxFvzf0C1MyPjwAAeNpt1VWUU2cYRuHsgxenQt1d8%2F3JOUnqAyR1d%2FcCLQVKO22pu7tQd3d3d3d3d3cXmGzumrWy3pWLs%2FNdPDMpZaWu1783l1Lpf14MnfzO6FbqVupfGkD30iR60JNe9KYP09CXfvRnAAMZxGCGMG3pW6ZjemZgKDMyEzMzC7MyG7MzB3MyF3MzD%2FMyH%2FOzAAuyEAuzCIuyGIuzBGWCRIUqOQU16jRYkqVYmmVYluVYng6GMZwRNGmxAiuyEiuzCquyGquzBmuyFmuzDuuyHuuzARuyERuzCZuyGZuzBVuyFVuzDduyHdszklGMZgd2ZAw7MZZxjGdnJrALu9LJbuzOHkxkT%2FZib%2FZhX%2FZjfw7gQA7iYA7hUA7jcI7gSI7iaI7hWI7jeE7gRE7iZE5hEqdyGqdzBmdyFmdzDudyHudzARdyERdzCZdyGZdzBVdyFVdzDddyHddzAzdyEzdzC7dyG7dzB3dyF3dzD%2FdyH%2FfzAA%2FyEA%2FzCI%2FyGI%2FzBE%2FyFE%2FzDM%2FyHM%2FzAi%2FyEi%2FzCq%2FyGq%2FzBm%2FyFm%2FzDu%2FyHu%2FzAR%2FyER%2FzCZ%2FyGZ%2FzBV%2FyFV%2FzDd%2FyHd%2FzAz%2FyEz%2FzC7%2FyG7%2FzB3%2FyF3%2FzD%2F9mpYwsy7pl3bMeWc%2BsV9Y765NNk%2FXN%2BmX9swHZwGxQNjgb0nPkmInjR0V7Uq%2FOsaPL5Y7ylE3l8tQNN7kVt%2BrmbuHW3LrbcDvam1rtzVvdm50TxrU%2FDBvRtZUY1rV5a3jXFn550Wo%2FXDNWK3dFmh7X9LimxzU9qulRTY9qelTTo5rlKLt2wk7YiaprL%2ByFvbAX9pK9ZC%2FZS%2FaSvWQv2Uv2kr1kr2KvYq9ir2KvYq9ir2KvYq9ir2Kvaq9qr2qvaq9qr2qvaq9qr2qvai%2B3l9vL7eX2cnu5vdxebi%2B3l9sr7BV2CjuFncJOYaewU9gp7NTs1LyrZq9mr2avZq9mr2avZq9mr26vbq9ur26vbq9ur26vbq9ur26vYa9hr2GvYa9hr2GvYa%2FR7oXuQ%2Feh%2B2j%2FUU7e3C3cqc%2FV3fYdof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D92H7kP3ofvQfeg%2BdB%2B6D92H7kP3ofvQfRT29B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6j6nuG3Ya7U5q%2F0hN3nCTW3Grbu4Wrs%2FrP%2Bk%2F6T%2FpP%2Bk%2F6T%2FpP%2Bk%2B6T7pPek86TzpPOk86TzpOuk66TrpOuk66TrpOlWmPu%2F36zrpOuk66TrpOuk66TrpOvl%2FPek76TvpO%2Bk76TvpO%2Bk76TvpO%2Bk76TvpO7V9t%2BqtVs%2FOaOURU6bo6PgPt6rZbwAAAAABVFDDFwAA%29%20format%28%27woff%27%29%2Curl%28data%3Aapplication%2Ffont%2Dsfnt%3Bbase64%2CAAEAAAAPAIAAAwBwRkZUTW0ql9wAAAD8AAAAHEdERUYBRAAEAAABGAAAACBPUy8yZ7lriQAAATgAAABgY21hcNqt44EAAAGYAAAGcmN2dCAAKAL4AAAIDAAAAARnYXNw%2F%2F8AAwAACBAAAAAIZ2x5Zn1dwm8AAAgYAACUpGhlYWQFTS%2FYAACcvAAAADZoaGVhCkQEEQAAnPQAAAAkaG10eNLHIGAAAJ0YAAADdGxvY2Fv%2B5XOAACgjAAAAjBtYXhwAWoA2AAAorwAAAAgbmFtZbMsoJsAAKLcAAADonBvc3S6o%2BU1AACmgAAACtF3ZWJmwxhUUAAAsVQAAAAGAAAAAQAAAADMPaLPAAAAANB2gXUAAAAA0HZzlwABAAAADgAAABgAAAAAAAIAAQABARYAAQAEAAAAAgAAAAMEiwGQAAUABAMMAtAAAABaAwwC0AAAAaQAMgK4AAAAAAUAAAAAAAAAAAAAAAIAAAAAAAAAAAAAAFVLV04AQAAg%2F%2F8DwP8QAAAFFAB7AAAAAQAAAAAAAAAAAAAAIAABAAAABQAAAAMAAAAsAAAACgAAAdwAAQAAAAAEaAADAAEAAAAsAAMACgAAAdwABAGwAAAAaABAAAUAKAAgACsAoAClIAogLyBfIKwgvSISIxsl%2FCYBJvonCScP4APgCeAZ4CngOeBJ4FngYOBp4HngieCX4QnhGeEp4TnhRuFJ4VnhaeF54YnhleGZ4gbiCeIW4hniIeIn4jniSeJZ4mD4%2F%2F%2F%2FAAAAIAAqAKAApSAAIC8gXyCsIL0iEiMbJfwmASb6JwknD%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EyFgcFExYGJyUFBiY3EyUmNjMBl4MHFQeBAaUVBhH%2BqoIHDxH%2Bqf6qEQ8Hgv6lEQYUAyABYRMT%2Fp8RDPn%2BbxQLDPb3DAsUAZD7DBEAAv%2FTAF4EewSUABgAIgAAARM2MhcTITIWBwUTFgYnJQUGJjcTJSY2MwUjFwc3Fyc3IycBl4MHFQeBAaUVBhH%2BqoIHDxH%2Bqf6qEQ8Hgv6lEQYUAfPwxUrBw0rA6k4DIAFhExP%2BnxEM%2Bf5vFAsM9vcMCxQBkPsMEWSO4ouM5YzTAAABAAAAAASwBLAAJgAAATIWHQEUBiMVFBYXBR4BHQEUBiMhIiY9ATQ2NyU%2BAT0BIiY9ATQ2Alh8sD4mDAkBZgkMDwr7ggoPDAkBZgkMJj6wBLCwfPouaEsKFwbmBRcKXQoPDwpdChcF5gYXCktoLvp8sAAAAA0AAAAABLAETAAPABMAIwAnACsALwAzADcARwBLAE8AUwBXAAATITIWFREUBiMhIiY1ETQ2FxUzNSkBIgYVERQWMyEyNjURNCYzFTM1BRUzNSEVMzUFFTM1IRUzNQchIgYVERQWMyEyNjURNCYFFTM1IRUzNQUVMzUhFTM1GQR%2BCg8PCvuCCg8PVWQCo%2F3aCg8PCgImCg8Pc2T8GGQDIGT8GGQDIGTh%2FdoKDw8KAiYKDw%2F872QDIGT8GGQDIGQETA8K%2B%2BYKDw8KBBoKD2RkZA8K%2FqIKDw8KAV4KD2RkyGRkZGTIZGRkZGQPCv6iCg8PCgFeCg9kZGRkZMhkZGRkAAAEAAAAAARMBEwADwAfAC8APwAAEyEyFhURFAYjISImNRE0NikBMhYVERQGIyEiJjURNDYBITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NjIBkBUdHRX%2BcBUdHQJtAZAVHR0V%2FnAVHR39vQGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHQRMHRX%2BcBUdHRUBkBUdHRX%2BcBUdHRUBkBUd%2FagdFf5wFR0dFQGQFR0dFf5wFR0dFQGQFR0AAAkAAAAABEwETAAPAB8ALwA%2FAE8AXwBvAH8AjwAAEzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2MsgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR0ETB0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHf5wHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUd%2FnAdFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0ABgAAAAAEsARMAA8AHwAvAD8ATwBfAAATMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYyyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHQRMHRXIFR0dFcgVHR0VyBUdHRXIFR3%2BcB0VyBUdHRXIFR0dFcgVHR0VyBUd%2FnAdFcgVHR0VyBUdHRXIFR0dFcgVHQAAAAABACYALAToBCAAFwAACQE2Mh8BFhQHAQYiJwEmND8BNjIfARYyAdECOwgUB7EICPzxBxUH%2FoAICLEHFAirBxYB3QI7CAixBxQI%2FPAICAGACBQHsQgIqwcAAQBuAG4EQgRCACMAAAEXFhQHCQEWFA8BBiInCQEGIi8BJjQ3CQEmND8BNjIXCQE2MgOIsggI%2FvUBCwgIsggVB%2F70%2FvQHFQiyCAgBC%2F71CAiyCBUHAQwBDAcVBDuzCBUH%2FvT%2B9AcVCLIICAEL%2FvUICLIIFQcBDAEMBxUIsggI%2FvUBDAcAAwAX%2F%2BsExQSZABkAJQBJAAAAMh4CFRQHARYUDwEGIicBBiMiLgI0PgEEIg4BFB4BMj4BNCYFMzIWHQEzMhYdARQGKwEVFAYrASImPQEjIiY9ATQ2OwE1NDYBmcSzgk1OASwICG0HFQj%2B1HeOYrSBTU2BAW%2BzmFhYmLOZWFj%2BvJYKD0sKDw8KSw8KlgoPSwoPDwpLDwSZTYKzYo15%2FtUIFQhsCAgBK01NgbTEs4JNWJmzmFhYmLOZIw8KSw8KlgoPSwoPDwpLDwqWCg9LCg8AAAMAF%2F%2FrBMUEmQAZACUANQAAADIeAhUUBwEWFA8BBiInAQYjIi4CND4BBCIOARQeATI%2BATQmBSEyFh0BFAYjISImPQE0NgGZxLOCTU4BLAgIbQcVCP7Ud45itIFNTYEBb7OYWFiYs5lYWP5YAV4KDw8K%2FqIKDw8EmU2Cs2KNef7VCBUIbAgIAStNTYG0xLOCTViZs5hYWJizmYcPCpYKDw8KlgoPAAAAAAIAFwAXBJkEsAAPAC0AAAEzMhYVERQGKwEiJjURNDYFNRYSFRQOAiIuAjU0EjcVDgEVFB4BMj4BNTQmAiZkFR0dFWQVHR0BD6fSW5vW6tabW9KnZ3xyxejFcnwEsB0V%2FnAVHR0VAZAVHeGmPv7ZuHXWm1tbm9Z1uAEnPqY3yHh0xXJyxXR4yAAEAGQAAASwBLAADwAfAC8APwAAATMyFhURFAYrASImNRE0NgEzMhYVERQGKwEiJjURNDYBMzIWFREUBisBIiY1ETQ2BTMyFh0BFAYrASImPQE0NgQBlgoPDwqWCg8P%2Ft6WCg8PCpYKDw%2F%2B3pYKDw8KlgoPD%2F7elgoPDwqWCg8PBLAPCvuCCg8PCgR%2BCg%2F%2BcA8K%2FRIKDw8KAu4KD%2F7UDwr%2BPgoPDwoBwgoPyA8K%2BgoPDwr6Cg8AAAAAAgAaABsElgSWAEcATwAAATIfAhYfATcWFwcXFh8CFhUUDwIGDwEXBgcnBwYPAgYjIi8CJi8BByYnNycmLwImNTQ%2FAjY%2FASc2Nxc3Nj8CNhIiBhQWMjY0AlghKSYFMS0Fhj0rUAMZDgGYBQWYAQ8YA1AwOIYFLDIFJisfISkmBTEtBYY8LFADGQ0ClwYGlwINGQNQLzqFBS0xBSYreLJ%2BfrJ%2BBJYFmAEOGQJQMDmGBSwxBiYrHiIoJgYxLAWGPSxRAxkOApcFBZcCDhkDUTA5hgUtMAYmKiAhKCYGMC0Fhj0sUAIZDgGYBf6ZfrF%2BfrEABwBkAAAEsAUUABMAFwAhACUAKQAtADEAAAEhMhYdASEyFh0BITU0NjMhNTQ2FxUhNQERFAYjISImNREXETMRMxEzETMRMxEzETMRAfQBLCk7ARMKD%2Fu0DwoBEzspASwBLDsp%2FUQpO2RkZGRkZGRkBRQ7KWQPCktLCg9kKTtkZGT%2B1PzgKTs7KQMgZP1EArz9RAK8%2FUQCvP1EArwAAQAMAAAFCATRAB8AABMBNjIXARYGKwERFAYrASImNREhERQGKwEiJjURIyImEgJsCBUHAmAIBQqvDwr6Cg%2F%2B1A8K%2BgoPrwoFAmoCYAcH%2FaAICv3BCg8PCgF3%2FokKDw8KAj8KAAIAZAAAA%2BgEsAARABcAAAERFBYzIREUBiMhIiY1ETQ2MwEjIiY9AQJYOykBLB0V%2FOAVHR0VA1L6FR0EsP5wKTv9dhUdHRUETBUd%2FnAdFfoAAwAXABcEmQSZAA8AGwAwAAAAMh4CFA4CIi4CND4BBCIOARQeATI%2BATQmBTMyFhURMzIWHQEUBisBIiY1ETQ2AePq1ptbW5vW6tabW1ubAb%2FoxXJyxejFcnL%2BfDIKD68KDw8K%2BgoPDwSZW5vW6tabW1ub1urWmztyxejFcnLF6MUNDwr%2B7Q8KMgoPDwoBXgoPAAAAAAL%2FnAAABRQEsAALAA8AACkBAyMDIQEzAzMDMwEDMwMFFP3mKfIp%2FeYBr9EVohTQ%2Fp4b4BsBkP5wBLD%2B1AEs%2FnD%2B1AEsAAAAAAIAZAAABLAEsAAVAC8AAAEzMhYVETMyFgcBBiInASY2OwERNDYBMzIWFREUBiMhIiY1ETQ2OwEyFh0BITU0NgImyBUdvxQLDf65DSYN%2FrkNCxS%2FHQJUMgoPDwr75goPDwoyCg8DhA8EsB0V%2Fj4XEP5wEBABkBAXAcIVHfzgDwr%2BogoPDwoBXgoPDwqvrwoPAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgUzMhYVETMyFgcDBiInAyY2OwERNDYB4%2BrWm1tbm9bq1ptbW5sBv%2BjFcnLF6MVycv58lgoPiRUKDd8NJg3fDQoViQ8EmVub1urWm1tbm9bq1ps7csXoxXJyxejFDQ8K%2Fu0XEP7tEBABExAXARMKDwAAAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JiUTFgYrAREUBisBIiY1ESMiJjcTNjIB4%2BrWm1tbm9bq1ptbW5sBv%2BjFcnLF6MVycv7n3w0KFYkPCpYKD4kVCg3fDSYEmVub1urWm1tbm9bq1ps7csXoxXJyxejFAf7tEBf%2B7QoPDwoBExcQARMQAAAAAAIAAAAABLAEsAAZADkAABMhMhYXExYVERQGBwYjISImJyY1EzQ3Ez4BBSEiBgcDBhY7ATIWHwEeATsBMjY%2FAT4BOwEyNicDLgHhAu4KEwO6BwgFDBn7tAweAgYBB7kDEwKX%2FdQKEgJXAgwKlgoTAiYCEwr6ChMCJgITCpYKDAJXAhIEsA4K%2FXQYGf5XDB4CBggEDRkBqRkYAowKDsgOC%2F4%2BCw4OCpgKDg4KmAoODgsBwgsOAAMAFwAXBJkEmQAPABsAJwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgUXFhQPAQYmNRE0NgHj6tabW1ub1urWm1tbmwG%2F6MVycsXoxXJy%2Fov9ERH9EBgYBJlbm9bq1ptbW5vW6tabO3LF6MVycsXoxV2%2BDCQMvgwLFQGQFQsAAQAXABcEmQSwACgAAAE3NhYVERQGIyEiJj8BJiMiDgEUHgEyPgE1MxQOAiIuAjQ%2BAjMyA7OHBwsPCv6WCwQHhW2BdMVycsXoxXKWW5vW6tabW1ub1nXABCSHBwQL%2FpYKDwsHhUxyxejFcnLFdHXWm1tbm9bq1ptbAAAAAAIAFwABBJkEsAAaADUAAAE3NhYVERQGIyEiJj8BJiMiDgEVIzQ%2BAjMyEzMUDgIjIicHBiY1ETQ2MyEyFg8BFjMyPgEDs4cHCw8L%2FpcLBAeGboF0xXKWW5vWdcDrllub1nXAnIYHCw8LAWgKBQiFboJ0xXIEJIcHBAv%2BlwsPCweGS3LFdHXWm1v9v3XWm1t2hggFCgFoCw8LB4VMcsUAAAAKAGQAAASwBLAADwAfAC8APwBPAF8AbwB%2FAI8AnwAAEyEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0NgczMhYdARQGKwEiJj0BNDYzITIWHQEUBiMhIiY9ATQ2BzMyFh0BFAYrASImPQE0NjMhMhYdARQGIyEiJj0BNDYHMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0Nn0EGgoPDwr75goPDwPA%2FK4KDw8KA1IKDw%2F9CDIKDw8KMgoPD9IBwgoPDwr%2BPgoPD74yCg8PCjIKDw%2FSAcIKDw8K%2Fj4KDw%2B%2BMgoPDwoyCg8P0gHCCg8PCv4%2BCg8PvjIKDw8KMgoPD9IBwgoPDwr%2BPgoPDwSwDwr7ggoPDwoEfgoPyA8K%2FK4KDw8KA1IKD2QPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKDwAAAAACAAAAAARMBLAAGQAjAAABNTQmIyEiBh0BIyIGFREUFjMhMjY1ETQmIyE1NDY7ATIWHQEDhHVT%2FtRSdmQpOzspA4QpOzsp%2FageFMgUHgMgyFN1dlLIOyn9qCk7OykCWCk7lhUdHRWWAAIAZAAABEwETAAJADcAABMzMhYVESMRNDYFMhcWFREUBw4DIyIuAScuAiMiBwYjIicmNRE%2BATc2HgMXHgIzMjc2fTIKD2QPA8AEBRADIUNAMRwaPyonKSxHHlVLBwgGBQ4WeDsXKC4TOQQpLUUdZ1AHBEwPCvvNBDMKDzACBhH%2BWwYGO1AkDQ0ODg8PDzkFAwcPAbY3VwMCAwsGFAEODg5XCAAAAwAAAAAEsASXACEAMQBBAAAAMh4CFREUBisBIiY1ETQuASAOARURFAYrASImNRE0PgEDMzIWFREUBisBIiY1ETQ2ITMyFhURFAYrASImNRE0NgHk6N6jYw8KMgoPjeT%2B%2BuSNDwoyCg9joyqgCAwMCKAIDAwCYKAIDAwIoAgMDASXY6PedP7UCg8PCgEsf9FyctF%2F%2FtQKDw8KASx03qP9wAwI%2FjQIDAwIAcwIDAwI%2FjQIDAwIAcwIDAAAAAACAAAA0wRHA90AFQA5AAABJTYWFREUBiclJisBIiY1ETQ2OwEyBTc2Mh8BFhQPARcWFA8BBiIvAQcGIi8BJjQ%2FAScmND8BNjIXAUEBAgkMDAn%2B%2FhUZ%2BgoPDwr6GQJYeAcUByIHB3h4BwciBxQHeHgHFAciBwd3dwcHIgcUBwMurAYHCv0SCgcGrA4PCgFeCg%2BEeAcHIgcUB3h4BxQHIgcHd3cHByIHFAd4eAcUByIICAAAAAACAAAA0wNyA90AFQAvAAABJTYWFREUBiclJisBIiY1ETQ2OwEyJTMWFxYVFAcGDwEiLwEuATc2NTQnJjY%2FATYBQQECCQwMCf7%2BFRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcDLqwGBwr9EgoHBqwODwoBXgoPZAEJgaGafwkBAQYXBxMIZ36EaggUBxYFAAAAAAMAAADEBGID7AAbADEASwAAATMWFxYVFAYHBgcjIi8BLgE3NjU0JicmNj8BNgUlNhYVERQGJyUmKwEiJjURNDY7ATIlMxYXFhUUBwYPASIvAS4BNzY1NCcmNj8BNgPHAwsGh0RABwoDCQcqCAIGbzs3BgIJKgf9ggECCQwMCf7%2BFRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcD7AEJs9lpy1QJAQYiBhQIlrJarEcJFAYhBb6sBgcK%2FRIKBwasDg8KAV4KD2QBCYGhmn8JAQEGFwcTCGd%2BhGoIFQYWBQAAAAANAAAAAASwBLAACQAVABkAHQAhACUALQA7AD8AQwBHAEsATwAAATMVIxUhFSMRIQEjFTMVIREjESM1IQURIREhESERBSM1MwUjNTMBMxEhETM1MwEzFSMVIzUjNTM1IzUhBREhEQcjNTMFIzUzASM1MwUhNSEB9GRk%2FnBkAfQCvMjI%2FtTIZAJY%2B7QBLAGQASz84GRkArxkZP1EyP4MyGQB9MhkyGRkyAEs%2FUQBLGRkZAOEZGT%2BDGRkAfT%2B1AEsA4RkZGQCWP4MZMgBLAEsyGT%2B1AEs%2FtQBLMhkZGT%2BDP4MAfRk%2FtRkZGRkyGTI%2FtQBLMhkZGT%2B1GRkZAAAAAAJAAAAAASwBLAAAwAHAAsADwATABcAGwAfACMAADcjETMTIxEzASMRMxMjETMBIxEzASE1IRcjNTMXIzUzBSM1M2RkZMhkZAGQyMjIZGQBLMjI%2FOD%2B1AEsyGRkyGRkASzIyMgD6PwYA%2Bj8GAPo%2FBgD6PwYA%2Bj7UGRkW1tbW1sAAAIAAAAKBKYEsAANABUAAAkBFhQHAQYiJwETNDYzBCYiBhQWMjYB9AKqCAj%2BMAgUCP1WAQ8KAUM7Uzs7UzsEsP1WCBQI%2FjAICAKqAdsKD807O1Q7OwAAAAADAAAACgXSBLAADQAZACEAAAkBFhQHAQYiJwETNDYzIQEWFAcBBiIvAQkBBCYiBhQWMjYB9AKqCAj%2BMAgUCP1WAQ8KAwYCqggI%2FjAIFAg4Aaj9RP7TO1M7O1M7BLD9VggUCP4wCAgCqgHbCg%2F9VggUCP4wCAg4AaoCvM07O1Q7OwAAAAABAGQAAASwBLAAJgAAASEyFREUDwEGJjURNCYjISIPAQYWMyEyFhURFAYjISImNRE0PwE2ASwDOUsSQAgKDwr9RBkSQAgFCgK8Cg8PCvyuCg8SixIEsEv8fBkSQAgFCgO2Cg8SQAgKDwr8SgoPDwoDzxkSixIAAAABAMj%2F%2FwRMBLAACgAAEyEyFhURCQERNDb6AyAVHf4%2B%2Fj4dBLAdFfuCAbz%2BQwR%2FFR0AAAAAAwAAAAAEsASwABUARQBVAAABISIGBwMGHwEeATMhMjY%2FATYnAy4BASMiBg8BDgEjISImLwEuASsBIgYVERQWOwEyNj0BNDYzITIWHQEUFjsBMjY1ETQmASEiBg8BBhYzITI2LwEuAQM2%2FkQLEAFOBw45BhcKAcIKFwY%2BDgdTARABVpYKFgROBBYK%2FdoKFgROBBYKlgoPDwqWCg8PCgLuCg8PCpYKDw%2F%2Bsf4MChMCJgILCgJYCgsCJgITBLAPCv7TGBVsCQwMCWwVGAEtCg%2F%2BcA0JnAkNDQmcCQ0PCv12Cg8PCpYKDw8KlgoPDwoCigoP%2FagOCpgKDg4KmAoOAAAAAAQAAABkBLAETAAdACEAKQAxAAABMzIeAh8BMzIWFREUBiMhIiY1ETQ2OwE%2BBAEVMzUEIgYUFjI2NCQyFhQGIiY0AfTIOF00JAcGlik7Oyn8GCk7OymWAgknM10ByGT%2Bz76Hh76H%2Fu9WPDxWPARMKTs7FRQ7Kf2oKTs7KQJYKTsIG0U1K%2F7UZGRGh76Hh74IPFY8PFYAAAAAAgA1AAAEsASvACAAIwAACQEWFx4BHwEVITUyNi8BIQYHBh4CMxUhNTY3PgE%2FAQEDIQMCqQGBFCgSJQkK%2Fl81LBFS%2Fnk6IgsJKjIe%2FpM4HAwaBwcBj6wBVKIEr%2FwaMioTFQECQkJXLd6RWSIuHAxCQhgcDCUNDQPu%2FVoByQAAAAADAGQAAAPwBLAAJwAyADsAAAEeBhUUDgMjITU%2BATURNC4EJzUFMh4CFRQOAgclMzI2NTQuAisBETMyNjU0JisBAvEFEzUwOyodN1htbDD%2BDCk7AQYLFyEaAdc5dWM%2BHy0tEP6Pi05pESpTPnbYUFJ9Xp8CgQEHGB0zOlIuQ3VONxpZBzMoAzsYFBwLEAkHRwEpSXNDM1s6KwkxYUopOzQb%2FK5lUFqBAAABAMgAAANvBLAAGQAAARcOAQcDBhYXFSE1NjcTNjQuBCcmJzUDbQJTQgeECSxK%2Fgy6Dq0DAw8MHxUXDQYEsDkTNSj8uTEoBmFhEFIDQBEaExAJCwYHAwI5AAAAAAL%2FtQAABRQEsAAlAC8AAAEjNC4FKwERFBYfARUhNTI%2BAzURIyIOBRUjESEFIxEzByczESM3BRQyCAsZEyYYGcgyGRn%2BcAQOIhoWyBkYJhMZCwgyA%2Bj7m0tLfX1LS30DhBUgFQ4IAwH8rhYZAQJkZAEFCRUOA1IBAwgOFSAVASzI%2FOCnpwMgpwACACH%2FtQSPBLAAJQAvAAABIzQuBSsBERQWHwEVITUyPgM1ESMiDgUVIxEhEwc1IRUnNxUhNQRMMggLGRMmGBnIMhkZ%2FnAEDiIaFsgZGCYTGQsIMgPoQ6f84KenAyADhBUgFQ4IAwH9dhYZAQJkZAEFCRUOAooBAwgOFSAVASz7gn1LS319S0sABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyAlgVHR0V%2FagVHR0VA%2BgVHR0V%2FBgVHR0VAyAVHR0V%2FOAVHR0VBEwVHR0V%2B7QVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYDITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NgMhMhYdARQGIyEiJj0BNDb6ArwVHR0V%2FUQVHR2zBEwVHR0V%2B7QVHR3dArwVHR0V%2FUQVHR2zBEwVHR0V%2B7QVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AAAE1NDYzITIWHQEUBiMhIiYBNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJgE1NDYzITIWHQEUBiMhIiYB9B0VAlgVHR0V%2FagVHf5wHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHf7UHRUETBUdHRX7tBUdA7ZkFR0dFWQVHR3%2B6WQVHR0VZBUdHf7pZBUdHRVkFR0d%2FulkFR0dFWQVHR0AAAQAAAAABLAETAAPAB8ALwA%2FAAATITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2MgRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dBEwdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AABMzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2MmQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR0ETB0VZBUdHRVkFR0dFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdHRVkFR0dFWQVHf7UHRVkFR0dFWQVHR0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0dFWQVHR0VZBUdAAAG%2F5wAAASwBEwAAwATACMAKgA6AEoAACEjETsCMhYdARQGKwEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2BQc1IzUzNQUhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2AZBkZJZkFR0dFWQVHR0VAfQVHR0V%2FgwVHR3%2B%2BqfIyAHCASwVHR0V%2FtQVHR0VAlgVHR0V%2FagVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR36fUtkS68dFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdAAAABgAAAAAFFARMAA8AEwAjACoAOgBKAAATMzIWHQEUBisBIiY9ATQ2ASMRMwEhMhYdARQGIyEiJj0BNDYFMxUjFSc3BSEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyZBUdHRVkFR0dA2dkZPyuAfQVHR0V%2FgwVHR0EL8jIp6f75gEsFR0dFf7UFR0dFQJYFR0dFf2oFR0dBEwdFWQVHR0VZBUd%2B7QETP7UHRVkFR0dFWQVHchkS319rx0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0AAAAAAgAAAMgEsAPoAA8AEgAAEyEyFhURFAYjISImNRE0NgkCSwLuHywsH%2F0SHywsBIT%2B1AEsA%2BgsH%2F12HywsHwKKHyz9RAEsASwAAwAAAAAEsARMAA8AFwAfAAATITIWFREUBiMhIiY1ETQ2FxE3BScBExEEMhYUBiImNCwEWBIaGhL7qBIaGkr3ASpKASXs%2FNJwTk5wTgRMGhL8DBIaGhID9BIaZP0ftoOcAT7%2B4AH0dE5vT09vAAAAAAIA2wAFBDYEkQAWAB4AAAEyHgEVFAcOAQ8BLgQnJjU0PgIWIgYUFjI2NAKIdcZzRkWyNjYJIV5YbSk8RHOft7eCgreCBJF4ynVzj23pPz4IIWZomEiEdVijeUjDgriBgbgAAAACABcAFwSZBJkADwAXAAAAMh4CFA4CIi4CND4BAREiDgEUHgEB4%2BrWm1tbm9bq1ptbW5sBS3TFcnLFBJlbm9bq1ptbW5vW6tab%2FG8DVnLF6MVyAAACAHUAAwPfBQ8AGgA1AAABHgYVFA4DBy4DNTQ%2BBQMOAhceBBcWNj8BNiYnLgInJjc2IyYCKhVJT1dOPiUzVnB9P1SbfEokP0xXUEm8FykoAwEbITEcExUWAgYCCQkFEikMGiACCAgFD0iPdXdzdYdFR4BeRiYEBTpjl1lFh3ZzeHaQ%2Ff4hS4I6JUEnIw4IBwwQIgoYBwQQQSlZtgsBAAAAAwAAAAAEywRsAAwAKgAvAAABNz4CHgEXHgEPAiUhMhcHISIGFREUFjMhMjY9ATcRFAYjISImNRE0NgkBBzcBA%2BhsAgYUFR0OFgoFBmz9BQGQMje7%2FpApOzspAfQpO8i7o%2F5wpbm5Azj%2BlqE3AWMD9XMBAgIEDw4WKgsKc8gNuzsp%2FgwpOzsptsj%2BtKW5uaUBkKW5%2Ftf%2BljKqAWMAAgAAAAAEkwRMABsANgAAASEGByMiBhURFBYzITI2NTcVFAYjISImNRE0NgUBFhQHAQYmJzUmDgMHPgY3NT4BAV4BaaQ0wyk7OykB9Ck7yLml%2FnClubkCfwFTCAj%2BrAcLARo5ZFRYGgouOUlARioTAQsETJI2Oyn%2BDCk7OymZZ6W5uaUBkKW5G%2F7TBxUH%2Fs4GBAnLAQINFjAhO2JBNB0UBwHSCgUAAAAAAgAAAAAEnQRMAB0ANQAAASEyFwchIgYVERQWMyEyNj0BNxUUBiMhIiY1ETQ2CQE2Mh8BFhQHAQYiLwEmND8BNjIfARYyAV4BXjxDsv6jKTs7KQH0KTvIuaX%2BcKW5uQHKAYsHFQdlBwf97QcVB%2FgHB2UHFQdvCBQETBexOyn%2BDCk7OylFyNulubmlAZCluf4zAYsHB2UHFQf97AcH%2BAcVB2UHB28HAAAAAQAKAAoEpgSmADsAAAkBNjIXARYGKwEVMzU0NhcBFhQHAQYmPQEjFTMyFgcBBiInASY2OwE1IxUUBicBJjQ3ATYWHQEzNSMiJgE%2BAQgIFAgBBAcFCqrICggBCAgI%2FvgICsiqCgUH%2FvwIFAj%2B%2BAgFCq%2FICgj%2B%2BAgIAQgICsivCgUDlgEICAj%2B%2BAgKyK0KBAf%2B%2FAcVB%2F73BwQKrcgKCP74CAgBCAgKyK0KBAcBCQcVBwEEBwQKrcgKAAEAyAAAA4QETAAZAAATMzIWFREBNhYVERQGJwERFAYrASImNRE0NvpkFR0B0A8VFQ%2F%2BMB0VZBUdHQRMHRX%2BSgHFDggV%2FBgVCA4Bxf5KFR0dFQPoFR0AAAABAAAAAASwBEwAIwAAEzMyFhURATYWFREBNhYVERQGJwERFAYnAREUBisBIiY1ETQ2MmQVHQHQDxUB0A8VFQ%2F%2BMBUP%2FjAdFWQVHR0ETB0V%2FkoBxQ4IFf5KAcUOCBX8GBUIDgHF%2FkoVCA4Bxf5KFR0dFQPoFR0AAAABAJ0AGQSwBDMAFQAAAREUBicBERQGJwEmNDcBNhYVEQE2FgSwFQ%2F%2BMBUP%2FhQPDwHsDxUB0A8VBBr8GBUIDgHF%2FkoVCA4B4A4qDgHgDggV%2FkoBxQ4IAAAAAQDIABYEMwQ2AAsAABMBFhQHAQYmNRE0NvMDLhIS%2FNISGRkEMv4OCx4L%2Fg4LDhUD6BUOAAIAyABkA4QD6AAPAB8AABMzMhYVERQGKwEiJjURNDYhMzIWFREUBisBIiY1ETQ2%2BsgVHR0VyBUdHQGlyBUdHRXIFR0dA%2BgdFfzgFR0dFQMgFR0dFfzgFR0dFQMgFR0AAAEAyABkBEwD6AAPAAABERQGIyEiJjURNDYzITIWBEwdFfzgFR0dFQMgFR0DtvzgFR0dFQMgFR0dAAAAAAEAAAAZBBMEMwAVAAABETQ2FwEWFAcBBiY1EQEGJjURNDYXAfQVDwHsDw%2F%2BFA8V%2FjAPFRUPAmQBthUIDv4gDioO%2FiAOCBUBtv47DggVA%2BgVCA4AAAH%2F%2FgACBLMETwAjAAABNzIWFRMUBiMHIiY1AwEGJjUDAQYmNQM0NhcBAzQ2FwEDNDYEGGQUHgUdFWQVHQL%2BMQ4VAv4yDxUFFQ8B0gIVDwHSAh0ETgEdFfwYFR0BHRUBtf46DwkVAbX%2BOQ4JFAPoFQkP%2Fj4BthQJDv49AbYVHQAAAQEsAAAD6ARMABkAAAEzMhYVERQGKwEiJjURAQYmNRE0NhcBETQ2A1JkFR0dFWQVHf4wDxUVDwHQHQRMHRX8GBUdHRUBtv47DggVA%2BgVCA7%2BOwG2FR0AAAIAZADIBLAESAALABsAAAkBFgYjISImNwE2MgEhMhYdARQGIyEiJj0BNDYCrgH1DwkW%2B%2B4WCQ8B9Q8q%2FfcD6BUdHRX8GBUdHQQ5%2FeQPFhYPAhwP%2FUgdFWQVHR0VZBUdAAEAiP%2F8A3UESgAFAAAJAgcJAQN1%2FqABYMX92AIoA4T%2Bn%2F6fxgIoAiYAAAAAAQE7%2F%2FwEKARKAAUAAAkBJwkBNwQo%2FdnGAWH%2Bn8YCI%2F3ZxgFhAWHGAAIAFwAXBJkEmQAPADMAAAAyHgIUDgIiLgI0PgEFIyIGHQEjIgYdARQWOwEVFBY7ATI2PQEzMjY9ATQmKwE1NCYB4%2BrWm1tbm9bq1ptbW5sBfWQVHZYVHR0Vlh0VZBUdlhUdHRWWHQSZW5vW6tabW1ub1urWm7odFZYdFWQVHZYVHR0Vlh0VZBUdlhUdAAAAAAIAFwAXBJkEmQAPAB8AAAAyHgIUDgIiLgI0PgEBISIGHQEUFjMhMjY9ATQmAePq1ptbW5vW6tabW1ubAkX%2BDBUdHRUB9BUdHQSZW5vW6tabW1ub1urWm%2F5%2BHRVkFR0dFWQVHQACABcAFwSZBJkADwAzAAAAMh4CFA4CIi4CND4BBCIPAScmIg8BBhQfAQcGFB8BFjI%2FARcWMj8BNjQvATc2NC8BAePq1ptbW5vW6tabW1ubAeUZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0JCXh4CQmNBJlbm9bq1ptbW5vW6tabrQl4eAkJjQkZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0AAgAXABcEmQSZAA8AJAAAADIeAhQOAiIuAjQ%2BAQEnJiIPAQYUHwEWMjcBNjQvASYiBwHj6tabW1ub1urWm1tbmwEVVAcVCIsHB%2FIHFQcBdwcHiwcVBwSZW5vW6tabW1ub1urWm%2F4xVQcHiwgUCPEICAF3BxUIiwcHAAAAAAMAFwAXBJkEmQAPADsASwAAADIeAhQOAiIuAjQ%2BAQUiDgMVFDsBFjc%2BATMyFhUUBgciDgUHBhY7ATI%2BAzU0LgMTIyIGHQEUFjsBMjY9ATQmAePq1ptbW5vW6tabW1ubAT8dPEIyIRSDHgUGHR8UFw4TARkOGhITDAIBDQ6tBx4oIxgiM0Q8OpYKDw8KlgoPDwSZW5vW6tabW1ub1urWm5ELHi9PMhkFEBQQFRIXFgcIBw4UHCoZCBEQKDhcNi9IKhsJ%2FeMPCpYKDw8KlgoPAAADABcAFwSZBJkADwAfAD4AAAAyHgIUDgIiLgI0PgEFIyIGHQEUFjsBMjY9ATQmAyMiBh0BFBY7ARUjIgYdARQWMyEyNj0BNCYrARE0JgHj6tabW1ub1urWm1tbmwGWlgoPDwqWCg8PCvoKDw8KS0sKDw8KAV4KDw8KSw8EmVub1urWm1tbm9bq1ptWDwqWCg8PCpYKD%2F7UDwoyCg%2FIDwoyCg8PCjIKDwETCg8AAgAAAAAEsASwAC8AXwAAATMyFh0BHgEXMzIWHQEUBisBDgEHFRQGKwEiJj0BLgEnIyImPQE0NjsBPgE3NTQ2ExUUBisBIiY9AQ4BBzMyFh0BFAYrAR4BFzU0NjsBMhYdAT4BNyMiJj0BNDY7AS4BAg2WCg9nlxvCCg8PCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw%2B5DwqWCg9EZheoCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmBLAPCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw8KlgoPZ5cbwgoP%2Fs2oCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmRA8KlgoPRGYAAwAXABcEmQSZAA8AGwA%2FAAAAMh4CFA4CIi4CND4BBCIOARQeATI%2BATQmBxcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyAePq1ptbW5vW6tabW1ubAb%2FoxXJyxejFcnKaQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwdABxUHfHwHFQSZW5vW6tabW1ub1urWmztyxejFcnLF6MVaQAcVB3x8BxUHQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwAAAAMAFwAXBJkEmQAPABsAMAAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgcXFhQHAQYiLwEmND8BNjIfATc2MgHj6tabW1ub1urWm1tbmwG%2F6MVycsXoxXJyg2oHB%2F7ACBQIyggIagcVB0%2FFBxUEmVub1urWm1tbm9bq1ps7csXoxXJyxejFfWoHFQf%2BvwcHywcVB2oICE%2FFBwAAAAMAFwAXBJkEmQAPABgAIQAAADIeAhQOAiIuAjQ%2BAQUiDgEVFBcBJhcBFjMyPgE1NAHj6tabW1ub1urWm1tbmwFLdMVyQQJLafX9uGhzdMVyBJlbm9bq1ptbW5vW6tabO3LFdHhpAktB0P24PnLFdHMAAAAAAQAXAFMEsAP5ABUAABMBNhYVESEyFh0BFAYjIREUBicBJjQnAgoQFwImFR0dFf3aFxD99hACRgGrDQoV%2Ft0dFcgVHf7dFQoNAasNJgAAAAABAAAAUwSZA%2FkAFQAACQEWFAcBBiY1ESEiJj0BNDYzIRE0NgJ%2FAgoQEP32EBf92hUdHRUCJhcD8f5VDSYN%2FlUNChUBIx0VyBUdASMVCgAAAAEAtwAABF0EmQAVAAAJARYGIyERFAYrASImNREhIiY3ATYyAqoBqw0KFf7dHRXIFR3%2B3RUKDQGrDSYEif32EBf92hUdHRUCJhcQAgoQAAAAAQC3ABcEXQSwABUAAAEzMhYVESEyFgcBBiInASY2MyERNDYCJsgVHQEjFQoN%2FlUNJg3%2BVQ0KFQEjHQSwHRX92hcQ%2FfYQEAIKEBcCJhUdAAABAAAAtwSZBF0AFwAACQEWFAcBBiY1EQ4DBz4ENxE0NgJ%2FAgoQEP32EBdesKWBJAUsW4fHfhcEVf5VDSYN%2FlUNChUBIwIkRHVNabGdcUYHAQYVCgACAAAAAASwBLAAFQArAAABITIWFREUBi8BBwYiLwEmND8BJyY2ASEiJjURNDYfATc2Mh8BFhQPARcWBgNSASwVHRUOXvkIFAhqBwf5Xg4I%2FiH%2B1BUdFQ5e%2BQgUCGoHB%2FleDggEsB0V%2FtQVCA5e%2BQcHaggUCPleDhX7UB0VASwVCA5e%2BQcHaggUCPleDhUAAAACAEkASQRnBGcAFQArAAABFxYUDwEXFgYjISImNRE0Nh8BNzYyASEyFhURFAYvAQcGIi8BJjQ%2FAScmNgP2agcH%2BV4OCBX%2B1BUdFQ5e%2BQgU%2FQwBLBUdFQ5e%2BQgUCGoHB%2FleDggEYGoIFAj5Xg4VHRUBLBUIDl75B%2F3xHRX%2B1BUIDl75BwdqCBQI%2BV4OFQAAAAADABcAFwSZBJkADwAfAC8AAAAyHgIUDgIiLgI0PgEFIyIGFxMeATsBMjY3EzYmAyMiBh0BFBY7ATI2PQE0JgHj6tabW1ub1urWm1tbmwGz0BQYBDoEIxQ2FCMEOgQYMZYKDw8KlgoPDwSZW5vW6tabW1ub1urWm7odFP7SFB0dFAEuFB3%2BDA8KlgoPDwqWCg8AAAAABQAAAAAEsASwAEkAVQBhAGgAbwAAATIWHwEWHwEWFxY3Nj8BNjc2MzIWHwEWHwIeATsBMhYdARQGKwEiBh0BIREjESE1NCYrASImPQE0NjsBMjY1ND8BNjc%2BBAUHBhY7ATI2LwEuAQUnJgYPAQYWOwEyNhMhIiY1ESkBERQGIyERAQQJFAUFFhbEFQ8dCAsmxBYXERUXMA0NDgQZCAEPCj0KDw8KMgoP%2FnDI%2FnAPCjIKDw8KPQsOCRkFDgIGFRYfAp2mBwQK2woKAzMDEP41sQgQAzMDCgrnCwMe%2FokKDwGQAlgPCv6JBLAEAgIKDXYNCxUJDRZ2DQoHIREQFRh7LAkLDwoyCg8PCq8BLP7UrwoPDwoyCg8GBQQwgBkUAwgWEQ55ogcKDgqVCgSqnQcECo8KDgr8cg8KAXf%2BiQoPAZAAAAAAAgAAAAwErwSmACsASQAAATYWFQYCDgQuAScmByYOAQ8BBiY1NDc%2BATc%2BAScuAT4BNz4GFyYGBw4BDwEOBAcOARY2Nz4CNz4DNz4BBI0IGgItQmxhi2KORDg9EQQRMxuZGhYqCFUYEyADCQIQOjEnUmFch3vAJQgdHyaiPT44XHRZUhcYDhItIRmKcVtGYWtbKRYEBKYDEwiy%2Ft3IlVgxEQgLCwwBAQIbG5kYEyJAJghKFRE8Hzdff4U%2FM0o1JSMbL0QJGCYvcSEhHjZST2c1ODwEJygeW0AxJUBff1UyFAABAF0AHgRyBM8ATwAAAQ4BHgQXLgc%2BATceAwYHDgQHBicmNzY3PgQuAScWDgMmJy4BJyY%2BBDcGHgM3PgEuAicmPgMCjScfCic4R0IgBBsKGAoQAwEJEg5gikggBhANPkpTPhZINx8SBgsNJysiCRZOQQoVNU1bYC9QZwICBAUWITsoCAYdJzIYHw8YIiYHDyJJYlkEz0OAZVxEOSQMBzgXOB42IzElKRIqg5Gnl0o3Z0c6IAYWCwYNAwQFIDhHXGF1OWiqb0sdBxUknF0XNTQ8PEUiNWNROBYJDS5AQVUhVZloUSkAAAAAA%2F%2FcAGoE1ARGABsAPwBRAAAAMh4FFA4FIi4FND4EBSYGFxYVFAYiJjU0NzYmBwYHDgEXHgQyPgM3NiYnJgUHDgEXFhcWNj8BNiYnJicuAQIGpJ17bk85HBw6T257naKde25POhwcOU9uewIPDwYIGbD4sBcIBw5GWg0ECxYyWl%2BDiINfWjIWCwQMWv3%2FIw8JCSU4EC0OIw4DDywtCyIERi1JXGJcSSpJXGJcSS0tSVxiXEkqSVxiXEncDwYTOT58sLB8OzcTBg9FcxAxEiRGXkQxMEVeRSQSMRF1HiQPLxJEMA0EDyIPJQ8sSRIEAAAABP%2FcAAAE1ASwABQAJwA7AEwAACEjNy4ENTQ%2BBTMyFzczEzceARUUDgMHNz4BNzYmJyYlBgcOARceBBc3LgE1NDc2JhcHDgEXFhcWNj8CJyYnLgECUJQfW6l2WSwcOU9ue51SPUEglCYvbIknUGqYUi5NdiYLBAw2%2FVFGWg0ECxIqSExoNSlrjxcIB3wjDwkJJTgQLQ4MFgMsLQsieBRhdHpiGxVJXGJcSS0Pef5StVXWNBpacm5jGq0xiD8SMRFGckVzEDESHjxRQTkNmhKnbjs3EwZwJA8vEkQwDQQPC1YELEkSBAAAAAP%2FngAABRIEqwALABgAKAAAJwE2FhcBFgYjISImJSE1NDY7ATIWHQEhAQczMhYPAQ4BKwEiJi8BJjZaAoIUOBQCghUbJfryJRsBCgFZDwqWCg8BWf5DaNAUGAQ6BCMUNhQjBDoEGGQEKh8FIfvgIEdEhEsKDw8KSwLT3x0U%2FBQdHRT8FB0AAAABAGQAFQSwBLAAKAAAADIWFREBHgEdARQGJyURFh0BFAYvAQcGJj0BNDcRBQYmPQE0NjcBETQCTHxYAWsPFhgR%2FplkGhPNzRMaZP6ZERgWDwFrBLBYPv6t%2FrsOMRQpFA0M%2Bf75XRRAFRAJgIAJEBVAFF0BB%2FkMDRQpFDEOAUUBUz4AAAARAAAAAARMBLAAHQAnACsALwAzADcAOwA%2FAEMARwBLAE8AUwBXAFsAXwBjAAABMzIWHQEzMhYdASE1NDY7ATU0NjsBMhYdASE1NDYBERQGIyEiJjURFxUzNTMVMzUzFTM1MxUzNTMVMzUFFTM1MxUzNTMVMzUzFTM1MxUzNQUVMzUzFTM1MxUzNTMVMzUzFTM1A1JkFR0yFR37tB0VMh0VZBUdAfQdAQ8dFfwYFR1kZGRkZGRkZGRk%2FHxkZGRkZGRkZGT8fGRkZGRkZGRkZASwHRUyHRWWlhUdMhUdHRUyMhUd%2FnD9EhUdHRUC7shkZGRkZGRkZGRkyGRkZGRkZGRkZGTIZGRkZGRkZGRkZAAAAAMAAAAZBXcElwAZACUANwAAARcWFA8BBiY9ASMBISImPQE0NjsBATM1NDYBBycjIiY9ATQ2MyEBFxYUDwEGJj0BIyc3FzM1NDYEb%2FkPD%2FkOFZ%2F9qP7dFR0dFdECWPEV%2FamNetEVHR0VASMDGvkPD%2FkOFfG1jXqfFQSN5g4qDuYOCBWW%2FagdFWQVHQJYlhUI%2FpiNeh0VZBUd%2Fk3mDioO5g4IFZa1jXqWFQgAAAABAAAAAASwBEwAEgAAEyEyFhURFAYjIQERIyImNRE0NmQD6Ck7Oyn9rP7QZCk7OwRMOyn9qCk7%2FtQBLDspAlgpOwAAAAMAZAAABEwEsAAJABMAPwAAEzMyFh0BITU0NiEzMhYdASE1NDYBERQOBSIuBTURIRUUFRwBHgYyPgYmNTQ9AZbIFR3%2B1B0C0cgVHf7UHQEPBhgoTGacwJxmTCgYBgEsAwcNFB8nNkI2Jx8TDwUFAQSwHRX6%2BhUdHRX6%2BhUd%2FnD%2B1ClJalZcPigoPlxWakkpASz6CRIVKyclIRsWEAgJEBccISUnKhURCPoAAAAB%2F%2F8A1ARMA8IABQAAAQcJAScBBEzG%2Fp%2F%2Bn8UCJwGbxwFh%2Fp%2FHAicAAQAAAO4ETQPcAAUAAAkCNwkBBE392v3ZxgFhAWEDFf3ZAifH%2Fp8BYQAAAAAC%2F1EAZAVfA%2BgAFAApAAABITIWFREzMhYPAQYiLwEmNjsBESElFxYGKwERIRchIiY1ESMiJj8BNjIBlALqFR2WFQgO5g4qDuYOCBWW%2FoP%2BHOYOCBWWAYHX%2FRIVHZYVCA7mDioD6B0V%2FdkVDvkPD%2FkOFQGRuPkOFf5wyB0VAiYVDvkPAAABAAYAAASeBLAAMAAAEzMyFh8BITIWBwMOASMhFyEyFhQGKwEVFAYiJj0BIRUUBiImPQEjIiYvAQMjIiY0NjheERwEJgOAGB4FZAUsIf2HMAIXFR0dFTIdKh3%2B1B0qHR8SHQYFyTYUHh4EsBYQoiUY%2FiUVK8gdKh0yFR0dFTIyFR0dFTIUCQoDwR0qHQAAAAACAAAAAASwBEwACwAPAAABFSE1MzQ2MyEyFhUFIREhBLD7UMg7KQEsKTv9RASw%2B1AD6GRkKTs7Kcj84AACAAAAAAXcBEwADAAQAAATAxEzNDYzITIWFSEVBQEhAcjIyDspASwqOgH0ASz%2B1PtQASwDIP5wAlgpOzspyGT9RAK8AAEBRQAAA2sErwAbAAABFxYGKwERMzIWDwEGIi8BJjY7AREjIiY%2FATYyAnvmDggVlpYVCA7mDioO5g4IFZaWFQgO5g4qBKD5DhX9pxUO%2BQ8P%2BQ4VAlkVDvkPAAAAAQABAUQErwNrABsAAAEXFhQPAQYmPQEhFRQGLwEmND8BNhYdASE1NDYDqPkODvkPFf2oFQ%2F5Dg75DxUCWBUDYOUPKQ%2FlDwkUl5cUCQ%2FlDykP5Q8JFZWVFQkAAAAEAAAAAASwBLAACQAZAB0AIQAAAQMuASMhIgYHAwUhIgYdARQWMyEyNj0BNCYFNTMVMzUzFQSRrAUkFP1gFCQFrAQt%2FBgpOzspA%2BgpOzv%2Bq2RkZAGQAtwXLSgV%2FR1kOylkKTs7KWQpO8hkZGRkAAAAA%2F%2BcAGQEsARMAAsAIwAxAAAAMhYVERQGIiY1ETQDJSMTFgYjIisBIiYnAj0BNDU0PgE7ASUBFSIuAz0BND4CNwRpKh0dKh1k%2FV0mLwMRFQUCVBQdBDcCCwzIAqP8GAQOIhoWFR0dCwRMHRX8rhUdHRUDUhX8mcj%2B7BAIHBUBUQ76AgQQDw36%2FtT6AQsTKRwyGigUDAEAAAACAEoAAARmBLAALAA1AAABMzIWDwEeARcTFzMyFhQGBw4EIyIuBC8BLgE0NjsBNxM%2BATcnJjYDFjMyNw4BIiYCKV4UEgYSU3oPP3YRExwaEggeZGqfTzl0XFU%2BLwwLEhocExF2Pw96UxIGEyQyNDUxDDdGOASwFRMlE39N%2FrmtHSkoBwQLHBYSCg4REg4FBAgoKR2tAUdNfhQgExr7vgYGMT09AAEAFAAUBJwEnAAXAAABNwcXBxcHFycHJwcnBzcnNyc3Jxc3FzcDIOBO6rS06k7gLZubLeBO6rS06k7gLZubA7JO4C2bmy3gTuq0tOpO4C2bmy3gTuq0tAADAAAAZASwBLAAIQAtAD0AAAEzMhYdAQchMhYdARQHAw4BKwEiJi8BIyImNRE0PwI%2BARcPAREzFzMTNSE3NQEzMhYVERQGKwEiJjURNDYCijIoPBwBSCg8He4QLBf6B0YfHz0tNxSRYA0xG2SWZIjW%2Bv4%2BMv12ZBUdHRVkFR0dBLBRLJZ9USxkLR3%2BqBghMhkZJCcBkCQbxMYcKGTU1f6JZAF3feGv%2FtQdFf4MFR0dFQH0FR0AAAAAAwAAAAAEsARMACAAMAA8AAABMzIWFxMWHQEUBiMhFh0BFAYrASImLwImNRE0NjsBNgUzMhYVERQGKwEiJjURNDYhByMRHwEzNSchNQMCWPoXLBDuHTwo%2FrgcPCgyGzENYJEUNy09fP3pZBUdHRVkFR0dAl%2BIZJZkMjIBwvoETCEY%2FqgdLWQsUXYHlixRKBzGxBskAZAnJGRkHRX%2BDBUdHRUB9BUdZP6J1dSv4X0BdwADAAAAZAUOBE8AGwA3AEcAAAElNh8BHgEPASEyFhQGKwEDDgEjISImNRE0NjcXERchEz4BOwEyNiYjISoDLgQnJj8BJwUzMhYVERQGKwEiJjURNDYBZAFrHxZuDQEMVAEuVGxuVGqDBhsP%2FqoHphwOOmQBJYMGGw%2FLFRMSFv44AgoCCQMHAwUDAQwRklb9T2QVHR0VZBUdHQNp5hAWcA0mD3lMkE7%2BrRUoog0CDRElCkj%2BCVkBUxUoMjIBAgIDBQIZFrdT5B0V%2FgwVHR0VAfQVHQAAAAP%2FnABkBLAETwAdADYARgAAAQUeBBURFAYjISImJwMjIiY0NjMhJyY2PwE2BxcWBw4FKgIjIRUzMhYXEyE3ESUFMzIWFREUBisBIiY1ETQ2AdsBbgIIFBANrAf%2Bqg8bBoNqVW1sVAEuVQsBDW4WSpIRDAIDBQMHAwkDCgH%2BJd0PHAaCASZq%2FqoCUGQVHR0VZBUdHQRP5gEFEBEXC%2F3zDaIoFQFTTpBMeQ8mDXAWrrcWGQIFAwICAWQoFf6tWQH37OQdFf4MFR0dFQH0FR0AAAADAGEAAARMBQ4AGwA3AEcAAAAyFh0BBR4BFREUBiMhIiYvAQMmPwE%2BAR8BETQXNTQmBhURHAMOBAcGLwEHEyE3ESUuAQMhMhYdARQGIyEiJj0BNDYB3pBOAVMVKKIN%2FfMRJQoJ5hAWcA0mD3nGMjIBAgIDBQIZFrdT7AH3Wf6tFSiWAfQVHR0V%2FgwVHR0FDm5UaoMGGw%2F%2BqgemHA4OAWsfFm4NAQxUAS5U1ssVExIW%2FjgCCgIJAwcDBQMBDBGSVv6tZAElgwYb%2FQsdFWQVHR0VZBUdAAP%2F%2FQAGA%2BgFFAAPAC0ASQAAASEyNj0BNCYjISIGHQEUFgEVFAYiJjURBwYmLwEmNxM%2BBDMhMhYVERQGBwEDFzc2Fx4FHAIVERQWNj0BNDY3JREnAV4B9BUdHRX%2BDBUdHQEPTpBMeQ8mDXAWEOYBBRARFwsCDQ2iKBX9iexTtxYZAgUDAgIBMjIoFQFTWQRMHRVkFR0dFWQVHfzmalRubFQBLlQMAQ1uFh8BawIIEw8Mpgf%2Bqg8bBgHP%2Fq1WkhEMAQMFAwcDCQIKAv44FhITFcsPGwaDASVkAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBJSYGHQEhIgYdARQWMyEVFBY3JTY0AeLs1ptbW5vW7NabW1ubAob%2B7RAX%2Fu0KDw8KARMXEAETEASaW5vW7NabW1ub1uzWm%2F453w0KFYkPCpYKD4kVCg3fDSYAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgENAQYUFwUWNj0BITI2PQE0JiMhNTQmAeLs1ptbW5vW7NabW1ubASX%2B7RAQARMQFwETCg8PCv7tFwSaW5vW7NabW1ub1uzWm%2BjfDSYN3w0KFYkPCpYKD4kVCgAAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBAyYiBwMGFjsBERQWOwEyNjURMzI2AeLs1ptbW5vW7NabW1ubAkvfDSYN3w0KFYkPCpYKD4kVCgSaW5vW7NabW1ub1uzWm%2F5AARMQEP7tEBf%2B7QoPDwoBExcAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEFIyIGFREjIgYXExYyNxM2JisBETQmAeLs1ptbW5vW7NabW1ubAZeWCg%2BJFQoN3w0mDd8NChWJDwSaW5vW7NabW1ub1uzWm7sPCv7tFxD%2B7RAQARMQFwETCg8AAAMAGAAYBJgEmAAPAJYApgAAADIeAhQOAiIuAjQ%2BASUOAwcGJgcOAQcGFgcOAQcGFgcUFgcyHgEXHgIXHgI3Fg4BFx4CFxQGFBcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQYHBicmNzY3HgIXHgMfAT4CJyY%2BATc%2BAzcmNzIWMjY3LgMnND4CJiceAT8BNi4CJwYHFB4BFS4CJz4BNxYyPgEB5OjVm1xcm9Xo1ZtcXJsBZA8rHDoKDz0PFD8DAxMBAzEFCRwGIgEMFhkHECIvCxU%2FOR0HFBkDDRQjEwcFaHUeISQDDTAMD0UREi4oLBAzDwQBBikEAQMLGhIXExMLBhAGKBsGBxYVEwYFAgsFAwMNFwQGCQcYFgYQCCARFwkKKiFBCwQCAQMDHzcLDAUdLDgNEiEQEgg%2FKhADGgMKEgoRBJhcm9Xo1ZtcXJvV6NWbEQwRBwkCAwYFBycPCxcHInIWInYcCUcYChQECA4QBAkuHgQPJioRFRscBAcSCgwCch0kPiAIAQcHEAsBAgsLIxcBMQENCQIPHxkCFBkdHB4QBgEBBwoMGBENBAMMJSAQEhYXDQ4qFBkKEhIDCQsXJxQiBgEOCQwHAQ0DBAUcJAwSCwRnETIoAwEJCwsLJQcKDBEAAAAAAQAAAAIErwSFABYAAAE2FwUXNxYGBw4BJwEGIi8BJjQ3ASY2AvSkjv79kfsGUE08hjv9rA8rD28PDwJYIk8EhVxliuh%2BWYcrIgsW%2FawQEG4PKxACV2XJAAYAAABgBLAErAAPABMAIwAnADcAOwAAEyEyFh0BFAYjISImPQE0NgUjFTMFITIWHQEUBiMhIiY9ATQ2BSEVIQUhMhYdARQGIyEiJj0BNDYFIRUhZAPoKTs7KfwYKTs7BBHIyPwYA%2BgpOzsp%2FBgpOzsEEf4MAfT8GAPoKTs7KfwYKTs7BBH%2B1AEsBKw7KWQpOzspZCk7ZGTIOylkKTs7KWQpO2RkyDspZCk7OylkKTtkZAAAAAIAZAAABEwEsAALABEAABMhMhYUBiMhIiY0NgERBxEBIZYDhBUdHRX8fBUdHQI7yP6iA4QEsB0qHR0qHf1E%2FtTIAfQB9AAAAAMAAABkBLAEsAAXABsAJQAAATMyFh0BITIWFREhNSMVIRE0NjMhNTQ2FxUzNQEVFAYjISImPQEB9MgpOwEsKTv%2BDMj%2BDDspASw7KcgB9Dsp%2FBgpOwSwOylkOyn%2BcGRkAZApO2QpO2RkZP1EyCk7OynIAAAABAAAAAAEsASwABUAKwBBAFcAABMhMhYPARcWFA8BBiIvAQcGJjURNDYpATIWFREUBi8BBwYiLwEmND8BJyY2ARcWFA8BFxYGIyEiJjURNDYfATc2MgU3NhYVERQGIyEiJj8BJyY0PwE2MhcyASwVCA5exwcHaggUCMdeDhUdAzUBLBUdFQ5exwgUCGoHB8deDgj%2BL2oHB8deDggV%2FtQVHRUOXscIFALLXg4VHRX%2B1BUIDl7HBwdqCBQIBLAVDl7HCBQIagcHx14OCBUBLBUdHRX%2B1BUIDl7HBwdqCBQIx14OFf0maggUCMdeDhUdFQEsFQgOXscHzl4OCBX%2B1BUdFQ5exwgUCGoHBwAAAAYAAAAABKgEqAAPABsAIwA7AEMASwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JiQyFhQGIiY0JDIWFAYjIicHFhUUBiImNTQ2PwImNTQEMhYUBiImNCQyFhQGIiY0Advy3Z9fX5%2Fd8t2gXl6gAcbgv29vv%2BC%2Fb2%2F%2BLS0gIC0gAUwtICAWDg83ETNIMykfegEJ%2FoctICAtIAIdLSAgLSAEqF%2Bf3fLdoF5eoN3y3Z9Xb7%2Fgv29vv%2BC%2FBiAtISEtICAtIQqRFxwkMzMkIDEFfgEODhekIC0gIC0gIC0gIC0AAf%2FYAFoEuQS8AFsAACUBNjc2JicmIyIOAwcABw4EFx4BMzI3ATYnLgEjIgcGBwEOASY0NwA3PgEzMhceARcWBgcOBgcGIyImJyY2NwE2NzYzMhceARcWBgcBDgEnLgECIgHVWwgHdl8WGSJBMD8hIP6IDx4eLRMNBQlZN0ozAiQkEAcdEhoYDRr%2Bqw8pHA4BRyIjQS4ODyw9DQ4YIwwod26La1YOOEBGdiIwGkQB%2F0coW2tQSE5nDxE4Qv4eDyoQEAOtAdZbZWKbEQQUGjIhH%2F6JDxsdNSg3HT5CMwIkJCcQFBcMGv6uDwEcKQ4BTSIjIQEINykvYyMLKnhuiWZMBxtAOU6%2BRAH%2FSBg3ISSGV121Qv4kDwIPDyYAAAACAGQAWASvBEQAGQBEAAABPgIeAhUUDgMHLgQ1ND4CHgEFIg4DIi4DIyIGFRQeAhcWFx4EMj4DNzY3PgQ1NCYCiTB7eHVYNkN5hKg%2BPqeFeEM4WnZ4eQEjIT8yLSohJyktPyJDbxtBMjMPBw86KzEhDSIzKUAMBAgrKT8dF2oDtURIBS1TdkA5eYB%2FslVVsn%2BAeTlAdlMtBUgtJjY1JiY1NiZvTRc4SjQxDwcOPCouGBgwKEALBAkpKkQqMhNPbQACADn%2F8gR3BL4AFwAuAAAAMh8BFhUUBg8BJi8BNycBFwcvASY0NwEDNxYfARYUBwEGIi8BJjQ%2FARYfAQcXAQKru0KNQjgiHR8uEl%2F3%2FnvUaRONQkIBGxJpCgmNQkL%2B5UK6Qo1CQjcdLhJf9wGFBL5CjUJeKmsiHTUuEl%2F4%2FnvUahKNQrpCARv%2BRmkICY1CukL%2B5UJCjUK7Qjc3LxFf%2BAGFAAAAAAMAyAAAA%2BgEsAARABUAHQAAADIeAhURFAYjISImNRE0PgEHESERACIGFBYyNjQCBqqaZDo7Kf2oKTs8Zj4CWP7%2FVj09Vj0EsB4uMhX8Ryk7OykDuRUzLar9RAK8%2FRY9Vj09VgABAAAAAASwBLAAFgAACQEWFAYiLwEBEScBBRMBJyEBJyY0NjIDhgEbDx0qDiT%2B6dT%2BzP7oywEz0gEsAQsjDx0qBKH%2B5g8qHQ8j%2FvX%2B1NL%2BzcsBGAE01AEXJA4qHQAAAAADAScAEQQJBOAAMgBAAEsAAAEVHgQXIy4DJxEXHgQVFAYHFSM1JicuASczHgEXEScuBDU0PgI3NRkBDgMVFB4DFxYXET4ENC4CArwmRVI8LAKfBA0dMydAIjxQNyiym2SWVygZA4sFV0obLkJOMCAyVWg6HSoqFQ4TJhkZCWgWKTEiGBkzNwTgTgUTLD9pQiQuLBsH%2Fs0NBxMtPGQ%2Bi6oMTU8QVyhrVk1iEAFPCA4ZLzlYNkZwSCoGTf4SARIEDh02Jh0rGRQIBgPQ%2FsoCCRYgNEM0JRkAAAABAGQAZgOUBK0ASgAAATIeARUjNC4CIyIGBwYVFB4BFxYXMxUjFgYHBgc%2BATM2FjMyNxcOAyMiLgEHDgEPASc%2BBTc%2BAScjNTMmJy4CPgE3NgIxVJlemSc8OxolVBQpGxoYBgPxxQgVFS02ImIWIIwiUzUyHzY4HCAXanQmJ1YYFzcEGAcTDBEJMAwk3aYXFQcKAg4tJGEErVCLTig%2FIhIdFSw5GkowKgkFZDKCHj4yCg8BIh6TExcIASIfBAMaDAuRAxAFDQsRCjePR2QvORQrREFMIVgAAAACABn%2F%2FwSXBLAADwAfAAABMzIWDwEGIi8BJjY7AREzBRcWBisBESMRIyImPwE2MgGQlhUIDuYOKg7mDggVlsgCF%2BYOCBWWyJYVCA7mDioBLBYO%2Bg8P%2Bg4WA4QQ%2BQ4V%2FHwDhBUO%2BQ8AAAQAGf%2F%2FA%2BgEsAAHABcAGwAlAAABIzUjFSMRIQEzMhYPAQYiLwEmNjsBETMFFTM1EwczFSE1NyM1IQPoZGRkASz9qJYVCA7mDioO5g4IFZbIAZFkY8jI%2FtTIyAEsArxkZAH0%2FHwWDvoPD%2FoOFgOEZMjI%2FRL6ZJb6ZAAAAAAEABn%2F%2FwPoBLAADwAZACEAJQAAATMyFg8BBiIvASY2OwERMwUHMxUhNTcjNSERIzUjFSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAljIyP7UyMgBLGRkZAEsx2QBLBYO%2Bg8P%2Bg4WA4SW%2BmSW%2BmT7UGRkAfRkyMgAAAAEABn%2F%2FwRMBLAADwAVABsAHwAAATMyFg8BBiIvASY2OwERMwEjESM1MxMjNSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAlhkZMhkZMgBLMdkASwWDvoPD%2FoOFgOE%2FgwBkGT7UGQBkGTIyAAAAAAEABn%2F%2FwRMBLAADwAVABkAHwAAATMyFg8BBiIvASY2OwERMwEjNSMRIQcVMzUDIxEjNTMBkJYVCA7mDioO5g4IFZbIArxkyAEsx2QBZGTIASwWDvoPD%2FoOFgOE%2FgxkAZBkyMj7tAGQZAAAAAAFABn%2F%2FwSwBLAADwATABcAGwAfAAABMzIWDwEGIi8BJjY7AREzBSM1MxMhNSETITUhEyE1IQGQlhUIDuYOKg7mDggVlsgB9MjIZP7UASxk%2FnABkGT%2BDAH0ASwWDvoPD%2FoOFgOEyMj%2BDMj%2BDMj%2BDMgABQAZ%2F%2F8EsASwAA8AEwAXABsAHwAAATMyFg8BBiIvASY2OwERMwUhNSEDITUhAyE1IQMjNTMBkJYVCA7mDioO5g4IFZbIAyD%2BDAH0ZP5wAZBk%2FtQBLGTIyAEsFg76Dw%2F6DhYDhMjI%2FgzI%2FgzI%2FgzIAAIAAAAABEwETAAPAB8AAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmAV4BkKK8u6P%2BcKW5uQJn%2FgwpOzspAfQpOzsETLuj%2FnClubmlAZClucg7Kf4MKTs7KQH0KTsAAAAAAwAAAAAETARMAA8AHwArAAABITIWFREUBiMhIiY1ETQ2BSEiBhURFBYzITI2NRE0JgUXFhQPAQYmNRE0NgFeAZClubml%2FnCju7wCZP4MKTs7KQH0KTs7%2Fm%2F9ERH9EBgYBEy5pf5wpbm5pQGQo7vIOyn%2BDCk7OykB9Ck7gr4MJAy%2BDAsVAZAVCwAAAAADAAAAAARMBEwADwAfACsAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFg8BBiIvASY2AV4BkKO7uaX%2BcKW5uQJn%2FgwpOzspAfQpOzv%2BFQGQFQsMvgwkDL4MCwRMvKL%2BcKW5uaUBkKO7yDsp%2FgwpOzspAfQpO8gYEP0REf0QGAAAAAMAAAAABEwETAAPAB8AKwAAASEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFFxYGIyEiJj8BNjIBXgGQpbm5pf5wo7u5Amf%2BDCk7OykB9Ck7O%2F77vgwLFf5wFQsMvgwkBEy5pf5wo7u8ogGQpbnIOyn%2BDCk7OykB9Ck7z%2F0QGBgQ%2FREAAAAAAgAAAAAFFARMAB8ANQAAASEyFhURFAYjISImPQE0NjMhMjY1ETQmIyEiJj0BNDYHARYUBwEGJj0BIyImPQE0NjsBNTQ2AiYBkKW5uaX%2BcBUdHRUBwik7Oyn%2BPhUdHb8BRBAQ%2FrwQFvoVHR0V%2BhYETLml%2FnCluR0VZBUdOykB9Ck7HRVkFR3p%2FuQOJg7%2B5A4KFZYdFcgVHZYVCgAAAQDZAAID1wSeACMAAAEXFgcGAgclMhYHIggBBwYrAScmNz4BPwEhIicmNzYANjc2MwMZCQgDA5gCASwYEQ4B%2Fvf%2B8wQMDgkJCQUCUCcn%2FtIXCAoQSwENuwUJEASeCQoRC%2F5TBwEjEv7K%2FsUFDwgLFQnlbm4TFRRWAS%2FTBhAAAAACAAAAAAT%2BBEwAHwA1AAABITIWHQEUBiMhIgYVERQWMyEyFh0BFAYjISImNRE0NgUBFhQHAQYmPQEjIiY9ATQ2OwE1NDYBXgGQFR0dFf4%2BKTs7KQHCFR0dFf5wpbm5AvEBRBAQ%2FrwQFvoVHR0V%2BhYETB0VZBUdOyn%2BDCk7HRVkFR25pQGQpbnp%2FuQOJg7%2B5A4KFZYdFcgVHZYVCgACAAAAAASwBLAAFQAxAAABITIWFREUBi8BAQYiLwEmNDcBJyY2ASMiBhURFBYzITI2PQE3ERQGIyEiJjURNDYzIQLuAZAVHRUObf7IDykPjQ8PAThtDgj%2B75wpOzspAfQpO8i7o%2F5wpbm5pQEsBLAdFf5wFQgObf7IDw%2BNDykPAThtDhX%2B1Dsp%2FgwpOzsplMj%2B1qW5uaUBkKW5AAADAA4ADgSiBKIADwAbACMAAAAyHgIUDgIiLgI0PgEEIg4BFB4BMj4BNCYEMhYUBiImNAHh7tmdXV2d2e7ZnV1dnQHD5sJxccLmwnFx%2FnugcnKgcgSiXZ3Z7tmdXV2d2e7ZnUdxwubCcXHC5sJzcqBycqAAAAMAAAAABEwEsAAVAB8AIwAAATMyFhURMzIWBwEGIicBJjY7ARE0NgEhMhYdASE1NDYFFTM1AcLIFR31FAoO%2FoEOJw3%2BhQ0JFfod%2FoUD6BUd%2B7QdA2dkBLAdFf6iFg%2F%2BVg8PAaoPFgFeFR38fB0V%2BvoVHWQyMgAAAAMAAAAABEwErAAVAB8AIwAACQEWBisBFRQGKwEiJj0BIyImNwE%2BAQEhMhYdASE1NDYFFTM1AkcBeg4KFfQiFsgUGPoUCw4Bfw4n%2FfkD6BUd%2B7QdA2dkBJ7%2BTQ8g%2BhQeHRX6IQ8BrxAC%2FH8dFfr6FR1kMjIAAwAAAAAETARLABQAHgAiAAAJATYyHwEWFAcBBiInASY0PwE2MhcDITIWHQEhNTQ2BRUzNQGMAXEHFQeLBwf98wcVB%2F7cBweLCBUH1APoFR37tB0DZ2QC0wFxBweLCBUH%2FfMICAEjCBQIiwcH%2FdIdFfr6FR1kMjIABAAAAAAETASbAAkAGQAjACcAABM3NjIfAQcnJjQFNzYWFQMOASMFIiY%2FASc3ASEyFh0BITU0NgUVMzWHjg4qDk3UTQ4CFtIOFQIBHRX9qxUIDtCa1P49A%2BgVHfu0HQNnZAP%2Fjg4OTdRMDyqa0g4IFf2pFB4BFQ7Qm9T9Oh0V%2BvoVHWQyMgAAAAQAAAAABEwEsAAPABkAIwAnAAABBR4BFRMUBi8BByc3JyY2EwcGIi8BJjQ%2FAQEhMhYdASE1NDYFFTM1AV4CVxQeARUO0JvUm9IOCMNMDyoOjg4OTf76A%2BgVHfu0HQNnZASwAgEdFf2rFQgO0JrUmtIOFf1QTQ4Ojg4qDk3%2BWB0V%2BvoVHWQyMgACAAT%2F7ASwBK8ABQAIAAAlCQERIQkBFQEEsP4d%2Fsb%2BcQSs%2FTMCq2cBFP5xAacDHPz55gO5AAAAAAIAAABkBEwEsAAVABkAAAERFAYrAREhESMiJjURNDY7AREhETMHIzUzBEwdFZb9RJYVHR0V%2BgH0ZMhkZAPo%2FK4VHQGQ%2FnAdFQPoFB7%2B1AEsyMgAAAMAAABFBN0EsAAWABoALwAAAQcBJyYiDwEhESMiJjURNDY7AREhETMHIzUzARcWFAcBBiIvASY0PwE2Mh8BATYyBEwC%2FtVfCRkJlf7IlhUdHRX6AfRkyGRkAbBqBwf%2BXAgUCMoICGoHFQdPASkHFQPolf7VXwkJk%2F5wHRUD6BQe%2FtQBLMjI%2Fc5qBxUH%2FlsHB8sHFQdqCAhPASkHAAMAAAANBQcEsAAWABoAPgAAAREHJy4BBwEhESMiJjURNDY7AREhETMHIzUzARcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyBExnhg8lEP72%2FreWFR0dFfoB9GTIZGQB9kYPD4ODDw9GDykPg4MPKQ9GDw%2BDgw8PRg8pD4ODDykD6P7zZ4YPAw7%2B9v5wHRUD6BQe%2FtQBLMjI%2FYxGDykPg4MPKQ9GDw%2BDgw8PRg8pD4ODDykPRg8Pg4MPAAADAAAAFQSXBLAAFQAZAC8AAAERISIGHQEhESMiJjURNDY7AREhETMHIzUzEzMyFh0BMzIWDwEGIi8BJjY7ATU0NgRM%2FqIVHf4MlhUdHRX6AfRkyGRklmQVHZYVCA7mDioO5g4IFZYdA%2Bj%2B1B0Vlv5wHRUD6BQe%2FtQBLMjI%2FagdFfoVDuYODuYOFfoVHQAAAAADAAAAAASXBLAAFQAZAC8AAAERJyYiBwEhESMiJjURNDY7AREhETMHIzUzExcWBisBFRQGKwEiJj0BIyImPwE2MgRMpQ4qDv75%2Fm6WFR0dFfoB9GTIZGTr5g4IFZYdFWQVHZYVCA7mDioD6P5wpQ8P%2Fvf%2BcB0VA%2BgUHv7UASzIyP2F5Q8V%2BhQeHhT6FQ%2FlDwADAAAAyASwBEwACQATABcAABMhMhYdASE1NDYBERQGIyEiJjURExUhNTIETBUd%2B1AdBJMdFfu0FR1kAZAETB0VlpYVHf7U%2FdoVHR0VAib%2B1MjIAAAGAAMAfQStBJcADwAZAB0ALQAxADsAAAEXFhQPAQYmPQEhNSE1NDYBIyImPQE0NjsBFyM1MwE3NhYdASEVIRUUBi8BJjQFIzU7AjIWHQEUBisBA6f4Dg74DhX%2BcAGQFf0vMhUdHRUyyGRk%2FoL3DhUBkP5wFQ73DwOBZGRkMxQdHRQzBI3mDioO5g4IFZbIlhUI%2FoUdFWQVHcjI%2FcvmDggVlsiWFQgO5g4qecgdFWQVHQAAAAACAGQAAASwBLAAFgBRAAABJTYWFREUBisBIiY1ES4ENRE0NiUyFh8BERQOAg8BERQGKwEiJjURLgQ1ETQ%2BAzMyFh8BETMRPAE%2BAjMyFh8BETMRND4DA14BFBklHRXIFR0EDiIaFiX%2B4RYZAgEVHR0LCh0VyBUdBA4iGhYBBwoTDRQZAgNkBQkVDxcZAQFkAQUJFQQxdBIUH%2FuuFR0dFQGNAQgbHzUeAWcfRJEZDA3%2BPhw%2FMSkLC%2F5BFR0dFQG%2FBA8uLkAcAcICBxENCxkMDf6iAV4CBxENCxkMDf6iAV4CBxENCwABAGQAAASwBEwAMwAAARUiDgMVERQWHwEVITUyNjURIREUFjMVITUyPgM1ETQmLwE1IRUiBhURIRE0JiM1BLAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGQGQSxkB9BlLBEw4AQUKFA78iBYZAQI4OA0lAYr%2BdiUNODgBBQoUDgN4FhkBAjg4DSX%2BdgGKJQ04AAAABgAAAAAETARMAAwAHAAgACQAKAA0AAABITIWHQEjBTUnITchBSEyFhURFAYjISImNRE0NhcVITUBBTUlBRUhNQUVFAYjIQchJyE3MwKjAXcVHWn%2B2cj%2BcGQBd%2F4lASwpOzsp%2FtQpOzspASwCvP5wAZD8GAEsArwdFf6JZP6JZAGQyGkD6B0VlmJiyGTIOyn%2BDCk7OykB9Ck7ZMjI%2FveFo4XGyMhm%2BBUdZGTIAAEAEAAQBJ8EnwAmAAATNzYWHwEWBg8BHgEXNz4BHwEeAQ8BBiIuBicuBTcRohEuDosOBhF3ZvyNdxEzE8ATBxGjAw0uMUxPZWZ4O0p3RjITCwED76IRBhPCFDERdo78ZXYRBA6IDi8RogEECBUgNUNjO0qZfHNVQBAAAAACAAAAAASwBEwAIwBBAAAAMh4EHwEVFAYvAS4BPQEmIAcVFAYPAQYmPQE%2BBRIyHgIfARUBHgEdARQGIyEiJj0BNDY3ATU0PgIB%2FLimdWQ%2FLAkJHRTKFB2N%2FsKNHRTKFB0DDTE7ZnTKcFImFgEBAW0OFR0V%2B7QVHRUOAW0CFiYETBUhKCgiCgrIFRgDIgMiFZIYGJIVIgMiAxgVyAQNJyQrIP7kExwcCgoy%2FtEPMhTUFR0dFdQUMg8BLzIEDSEZAAADAAAAAASwBLAADQAdACcAAAEHIScRMxUzNTMVMzUzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYETMj9qMjIyMjIyPyuArwVHR0VDIn8SokMFR0dswRMFR37UB0CvMjIAfTIyMjI%2FOAdKh1kZB0qHf7UHRUyMhUdAAAAAwBkAAAEsARMAAkAEwAdAAABIyIGFREhETQmASMiBhURIRE0JgEhETQ2OwEyFhUCvGQpOwEsOwFnZCk7ASw7%2FRv%2B1DspZCk7BEw7KfwYA%2BgpO%2F7UOyn9RAK8KTv84AGQKTs7KQAAAAAF%2F5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQURByMRMwcRMxHIArx8sLB8%2FUR8sLAYA4T%2BDMjI%2FtTIyAEsAZBkyMhkZARMsHz%2BDHywsHwB9HywyP1EArzIZP7UZGQBLGT%2B1GQB9GT%2B1AEsAAAABf%2BcAAAEsARMAA8AEwAfACUAKQAAEyEyFhURFAYjISImNRE0NhcRIREBIzUjFSMRMxUzNTMFEQcjETMHETMRyAK8fLCwfP1EfLCwGAOE%2FgxkZGRkZGQBkGTIyGRkBEywfP4MfLCwfAH0fLDI%2FUQCvP2oyMgB9MjIZP7UZAH0ZP7UASwABP%2BcAAAEsARMAA8AEwAbACMAABMhMhYVERQGIyEiJjURNDYXESERBSMRMxUhESEFIxEzFSERIcgCvHywsHz9RHywsBgDhP4MyMj%2B1AEsAZDIyP7UASwETLB8%2Fgx8sLB8AfR8sMj9RAK8yP7UZAH0ZP7UZAH0AAAABP%2BcAAAEsARMAA8AEwAWABkAABMhMhYVERQGIyEiJjURNDYXESERAS0BDQERyAK8fLCwfP1EfLCwGAOE%2Fgz%2B1AEsAZD%2B1ARMsHz%2BDHywsHwB9HywyP1EArz%2BDJaWlpYBLAAAAAX%2FnAAABLAETAAPABMAFwAgACkAABMhMhYVERQGIyEiJjURNDYXESERAyERIQcjIgYVFBY7AQERMzI2NTQmI8gCvHywsHz9RHywsBgDhGT9RAK8ZIImOTYpgv4Mgik2OSYETLB8%2Fgx8sLB8AfR8sMj9RAK8%2FagB9GRWQUFUASz%2B1FRBQVYAAAAF%2F5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQEjESM1MwMjNTPIArx8sLB8%2FUR8sLAYA4T%2BDMjI%2FtTIyAEsAZBkZMjIZGQETLB8%2Fgx8sLB8AfR8sMj9RAK8yGT%2B1GRkASz%2BDAGQZP4MZAAG%2F5wAAASwBEwADwATABkAHwAjACcAABMhMhYVERQGIyEiJjURNDYXESERBTMRIREzASMRIzUzBRUzNQEjNTPIArx8sLB8%2FUR8sLAYA4T9RMj%2B1GQCWGRkyP2oZAEsZGQETLB8%2Fgx8sLB8AfR8sMj9RAK8yP5wAfT%2BDAGQZMjIyP7UZAAF%2F5wAAASwBEwADwATABwAIgAmAAATITIWFREUBiMhIiY1ETQ2FxEhEQEHIzU3NSM1IQEjESM1MwMjNTPIArx8sLB8%2FUR8sLAYA4T%2BDMdkx8gBLAGQZGTIx2RkBEywfP4MfLCwfAH0fLDI%2FUQCvP5wyDLIlmT%2BDAGQZP4MZAAAAAMACQAJBKcEpwAPABsAJQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgchFSEVISc1NyEB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWz%2B1AEs%2FtRkZAEsBKdentvw255eXp7b8NueTHHC5MJxccLkwtDIZGTIZAAAAAAEAAkACQSnBKcADwAbACcAKwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgcVBxcVIycjFSMRIQcVMzUB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWwyZGRklmQBLMjIBKdentvw255eXp7b8NueTHHC5MJxccLkwtBkMmQyZGQBkGRkZAAAAv%2Fy%2F50EwgRBACAANgAAATIWFzYzMhYUBisBNTQmIyEiBh0BIyImNTQ2NyY1ND4BEzMyFhURMzIWDwEGIi8BJjY7ARE0NgH3brUsLC54qqp4gB0V%2FtQVHd5QcFZBAmKqepYKD4kVCg3fDSYN3w0KFYkPBEF3YQ6t8a36FR0dFfpzT0VrDhMSZKpi%2FbMPCv7tFxD0EBD0EBcBEwoPAAAAAAL%2F8v%2BcBMMEQQAcADMAAAEyFhc2MzIWFxQGBwEmIgcBIyImNTQ2NyY1ND4BExcWBisBERQGKwEiJjURIyImNzY3NjIB9m62LCsueaoBeFr%2Bhg0lDf6DCU9xVkECYqnm3w0KFYkPCpYKD4kVCg3HGBMZBEF3YQ%2BteGOkHAFoEBD%2Bk3NPRWsOExNkqWP9kuQQF%2F7tCg8PCgETFxDMGBMAAAABAGQAAARMBG0AGAAAJTUhATMBMwkBMwEzASEVIyIGHQEhNTQmIwK8AZD%2B8qr%2B8qr%2B1P7Uqv7yqv7yAZAyFR0BkB0VZGQBLAEsAU3%2Bs%2F7U%2FtRkHRUyMhUdAAAAAAEAeQAABDcEmwAvAAABMhYXHgEVFAYHFhUUBiMiJxUyFh0BITU0NjM1BiMiJjU0Ny4BNTQ2MzIXNCY1NDYCWF6TGll7OzIJaUo3LRUd%2FtQdFS03SmkELzlpSgUSAqMEm3FZBoNaPWcfHRpKaR77HRUyMhUd%2Bx5pShIUFVg1SmkCAhAFdKMAAAAGACcAFASJBJwAEQAqAEIASgBiAHsAAAEWEgIHDgEiJicmAhI3PgEyFgUiBw4BBwYWHwEWMzI3Njc2Nz4BLwEmJyYXIgcOAQcGFh8BFjMyNz4BNz4BLwEmJyYWJiIGFBYyNjciBw4BBw4BHwEWFxYzMjc%2BATc2Ji8BJhciBwYHBgcOAR8BFhcWMzI3PgE3NiYvASYD8m9PT29T2dzZU29PT29T2dzZ%2Fj0EBHmxIgQNDCQDBBcGG0dGYAsNAwkDCwccBAVQdRgEDA0iBAQWBhJROQwMAwkDCwf5Y4xjY4xjVhYGElE6CwwDCQMLBwgEBVB1GAQNDCIEjRcGG0dGYAsNAwkDCwcIBAR5sSIEDQwkAwPyb%2F7V%2FtVvU1dXU28BKwErb1NXVxwBIrF5DBYDCQEWYEZHGwMVDCMNBgSRAhh1UA0WAwkBFTpREgMVCyMMBwT6Y2OMY2MVFTpREQQVCyMMBwQCGHVQDRYDCQEkFmBGRxsDFQwjDQYEASKxeQwWAwkBAAAABQBkAAAD6ASwAAwADwAWABwAIgAAASERIzUhFSERNDYzIQEjNQMzByczNTMDISImNREFFRQGKwECvAEstP6s%2FoQPCgI%2FASzIZKLU1KJktP51Cg8DhA8KwwMg%2FoTIyALzCg%2F%2B1Mj84NTUyP4MDwoBi8jDCg8AAAAABQBkAAAD6ASwAAkADAATABoAIQAAASERCQERNDYzIQEjNRMjFSM1IzcDISImPQEpARUUBisBNQK8ASz%2Bov3aDwoCPwEsyD6iZKLUqv6dCg8BfAIIDwqbAyD9%2BAFe%2FdoERwoP%2FtTI%2FHzIyNT%2BZA8KNzcKD1AAAAAAAwAAAAAEsAP0AAgAGQAfAAABIxUzFyERIzcFMzIeAhUhFSEDETM0PgIBMwMhASEEiqJkZP7UotT9EsgbGiEOASz9qMhkDiEaAnPw8PzgASwB9AMgyGQBLNTUBBErJGT%2BogHCJCsRBP5w%2FnAB9AAAAAMAAAAABEwETAAZADIAOQAAATMyFh0BMzIWHQEUBiMhIiY9ATQ2OwE1NDYFNTIWFREUBiMhIic3ARE0NjMVFBYzITI2AQc1IzUzNQKKZBUdMhUdHRX%2B1BUdHRUyHQFzKTs7Kf2oARP2%2Fro7KVg%2BASw%2BWP201MjIBEwdFTIdFWQVHR0VZBUdMhUd%2BpY7KfzgKTsE9gFGAUQpO5Y%2BWFj95tSiZKIAAwBkAAAEvARMABkANgA9AAABMzIWHQEzMhYdARQGIyEiJj0BNDY7ATU0NgU1MhYVESMRMxQOAiMhIiY1ETQ2MxUUFjMhMjYBBzUjNTM1AcJkFR0yFR0dFf7UFR0dFTIdAXMpO8jIDiEaG%2F2oKTs7KVg%2BASw%2BWAGc1MjIBEwdFTIdFWQVHR0VZBUdMhUd%2BpY7Kf4M%2FtQkKxEEOykDICk7lj5YWP3m1KJkogAAAAP%2FogAABRYE1AALABsAHwAACQEWBiMhIiY3ATYyEyMiBhcTHgE7ATI2NxM2JgMVMzUCkgJ9FyAs%2BwQsIBcCfRZARNAUGAQ6BCMUNhQjBDoEGODIBK37sCY3NyYEUCf%2BTB0U%2FtIUHR0UAS4UHf4MZGQAAAAACQAAAAAETARMAA8AHwAvAD8ATwBfAG8AfwCPAAABMzIWHQEUBisBIiY9ATQ2EzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBqfoKDw8K%2BgoPDwr6Cg8PCvoKDw8BmvoKDw8K%2BgoPD%2Fzq%2BgoPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K%2BgoPD%2Fzq%2BgoPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K%2BgoPDwRMDwqWCg8PCpYKD%2F7UDwqWCg8PCpYKDw8KlgoPDwqWCg%2F%2B1A8KlgoPDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKD%2F7UDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKDw8KlgoPAAAAAwAAAAAEsAUUABkAKQAzAAABMxUjFSEyFg8BBgchJi8BJjYzITUjNTM1MwEhMhYUBisBFyE3IyImNDYDITIWHQEhNTQ2ArxkZAFePjEcQiko%2FPwoKUIcMT4BXmRkyP4%2BArwVHR0VDIn8SooNFR0dswRMFR37UB0EsMhkTzeEUzMzU4Q3T2TIZPx8HSodZGQdKh3%2B1B0VMjIVHQAABAAAAAAEsAUUAAUAGQArADUAAAAyFhUjNAchFhUUByEyFg8BIScmNjMhJjU0AyEyFhQGKwEVBSElNSMiJjQ2AyEyFh0BITU0NgIwUDnCPAE6EgMBSCkHIq%2F9WrIiCikBSAOvArwVHR0VlgET%2FEoBE5YVHR2zBEwVHftQHQUUOykpjSUmCBEhFpGRFiERCCb%2BlR0qHcjIyMgdKh39qB0VMjIVHQAEAAAAAASwBJ0ABwAUACQALgAAADIWFAYiJjQTMzIWFRQXITY1NDYzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYCDZZqapZqty4iKyf%2BvCcrI%2F7NArwVHR0VDYr8SokMFR0dswRMFR37UB0EnWqWamqW%2Fus5Okxra0w6Of5yHSodZGQdKh3%2B1B0VMjIVHQAEAAAAAASwBRQADwAcACwANgAAATIeARUUBiImNTQ3FzcnNhMzMhYVFBchNjU0NjMBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYL1szb5xvIpBvoyIfLiIrJ%2F68Jysj%2Fs0CvBUdHRUNivxKiQwVHR2zBEwVHftQHQUUa4s2Tm9vTj5Rj2%2BjGv4KOTpMa2tMOjn%2Bch0qHWRkHSod%2FtQdFTIyFR0AAAADAAAAAASwBRIAEgAiACwAAAEFFSEUHgMXIS4BNTQ%2BAjcBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYASz%2B1CU%2FP00T%2Fe48PUJtj0r%2BogK8FR0dFQ2K%2FEqJDBUdHbMETBUd%2B1AdBLChizlmUT9IGVO9VFShdksE%2FH4dKh1kZB0qHf7UHRUyMhUdAAIAyAAAA%2BgFFAAPACkAAAAyFh0BHgEdASE1NDY3NTQDITIWFyMVMxUjFTMVIxUzFAYjISImNRE0NgIvUjsuNv5wNi5kAZA2XBqsyMjIyMh1U%2F5wU3V1BRQ7KU4aXDYyMjZcGk4p%2Fkc2LmRkZGRkU3V1UwGQU3UAAAMAZP%2F%2FBEwETAAPAC8AMwAAEyEyFhURFAYjISImNRE0NgMhMhYdARQGIyEXFhQGIi8BIQcGIiY0PwEhIiY9ATQ2BQchJ5YDhBUdHRX8fBUdHQQDtgoPDwr%2B5eANGiUNWP30Vw0mGg3g%2Ft8KDw8BqmQBRGQETB0V%2FgwVHR0VAfQVHf1EDwoyCg%2FgDSUbDVhYDRslDeAPCjIKD2RkZAAAAAAEAAAAAASwBEwAGQAjAC0ANwAAEyEyFh0BIzQmKwEiBhUjNCYrASIGFSM1NDYDITIWFREhETQ2ExUUBisBIiY9ASEVFAYrASImPQHIAyBTdWQ7KfopO2Q7KfopO2R1EQPoKTv7UDvxHRVkFR0D6B0VZBUdBEx1U8gpOzspKTs7KchTdf4MOyn%2B1AEsKTv%2BDDIVHR0VMjIVHR0VMgADAAEAAASpBKwADQARABsAAAkBFhQPASEBJjQ3ATYyCQMDITIWHQEhNTQ2AeACqh8fg%2F4f%2FfsgIAEnH1n%2BrAFWAS%2F%2Bq6IDIBUd%2FHwdBI39VR9ZH4MCBh9ZHwEoH%2F5u%2FqoBMAFV%2FBsdFTIyFR0AAAAAAgCPAAAEIQSwABcALwAAAQMuASMhIgYHAwYWMyEVFBYyNj0BMzI2AyE1NDY7ATU0NjsBETMRMzIWHQEzMhYVBCG9CCcV%2FnAVJwi9CBMVAnEdKh19FROo%2Fa0dFTIdFTDILxUdMhUdAocB%2BhMcHBP%2BBhMclhUdHRWWHP2MMhUdMhUdASz%2B1B0VMh0VAAAEAAAAAASwBLAADQAQAB8AIgAAASERFAYjIREBNTQ2MyEBIzUBIREUBiMhIiY1ETQ2MyEBIzUDhAEsDwr%2Bif7UDwoBdwEsyP2oASwPCv12Cg8PCgF3ASzIAyD9wQoPAk8BLFQKD%2F7UyP4M%2FcEKDw8KA7YKD%2F7UyAAC%2F5wAZAUUBEcARgBWAAABMzIeAhcWFxY2NzYnJjc%2BARYXFgcOASsBDgEPAQ4BKwEiJj8BBisBIicHDgErASImPwEmLwEuAT0BNDY7ATY3JyY2OwE2BSMiBh0BFBY7ATI2PQE0JgHkw0uOakkMEhEfQwoKGRMKBQ8XDCkCA1Y9Pgc4HCcDIhVkFRgDDDEqwxgpCwMiFWQVGAMaVCyfExwdFXwLLW8QBxXLdAFF%2BgoPDwr6Cg8PBEdBa4pJDgYKISAiJRsQCAYIDCw9P1c3fCbqFB0dFEYOCEAUHR0UnUplNQcmFTIVHVdPXw4TZV8PCjIKDw8KMgoPAAb%2FnP%2FmBRQEfgAJACQANAA8AFIAYgAAASU2Fh8BFgYPASUzMhYfASEyFh0BFAYHBQYmJyYjISImPQE0NhcjIgYdARQ7ATI2NTQmJyYEIgYUFjI2NAE3PgEeARceAT8BFxYGDwEGJi8BJjYlBwYfAR4BPwE2Jy4BJy4BAoEBpxMuDiAOAxCL%2FCtqQ0geZgM3FR0cE%2F0fFyIJKjr%2B1D5YWLlQExIqhhALIAsSAYBALS1ALf4PmBIgHhMQHC0aPzANITNQL3wpgigJASlmHyElDR0RPRMFAhQHCxADhPcICxAmDyoNeMgiNtQdFTIVJgeEBBQPQ1g%2ByD5YrBwVODMQEAtEERzJLUAtLUD%2B24ITChESEyMgAwWzPUkrRSgJL5cvfRxYGyYrDwkLNRAhFEgJDAQAAAAAAwBkAAAEOQSwAFEAYABvAAABMzIWHQEeARcWDgIPATIeBRUUDgUjFRQGKwEiJj0BIxUUBisBIiY9ASMiJj0BNDY7AREjIiY9ATQ2OwE1NDY7ATIWHQEzNTQ2AxUhMj4CNTc0LgMjARUhMj4CNTc0LgMjAnGWCg9PaAEBIC4uEBEGEjQwOiodFyI2LUAjGg8KlgoPZA8KlgoPrwoPDwpLSwoPDwqvDwqWCg9kD9cBBxwpEwsBAQsTKRz%2B%2BQFrHCkTCwEBCxMpHASwDwptIW1KLk0tHwYGAw8UKDJOLTtdPCoVCwJLCg8PCktLCg8PCksPCpYKDwJYDwqWCg9LCg8PCktLCg%2F%2B1MgVHR0LCgQOIhoW%2FnDIFR0dCwoEDiIaFgAAAwAEAAIEsASuABcAKQAsAAATITIWFREUBg8BDgEjISImJy4CNRE0NgQiDgQPARchNy4FAyMT1AMMVnokEhIdgVL9xFKCHAgYKHoCIIx9VkcrHQYGnAIwnAIIIClJVSGdwwSuelb%2BYDO3QkJXd3ZYHFrFMwGgVnqZFyYtLSUMDPPzBQ8sKDEj%2FsIBBQACAMgAAAOEBRQADwAZAAABMzIWFREUBiMhIiY1ETQ2ARUUBisBIiY9AQHblmesVCn%2BPilUrAFINhWWFTYFFKxn%2FgwpVFQpAfRnrPwY4RU2NhXhAAACAMgAAAOEBRQADwAZAAABMxQWMxEUBiMhIiY1ETQ2ARUUBisBIiY9AQHbYLOWVCn%2BPilUrAFINhWWFTYFFJaz%2FkIpVFQpAfRnrPwY4RU2NhXhAAACAAAAFAUOBBoAFAAaAAAJASUHFRcVJwc1NzU0Jj4CPwEnCQEFJTUFJQUO%2FYL%2Bhk5klpZkAQEBBQQvkwKCAVz%2Bov6iAV4BXgL%2F%2FuWqPOCWx5SVyJb6BA0GCgYDKEEBG%2F1ipqaTpaUAAAMAZAH0BLADIAAHAA8AFwAAEjIWFAYiJjQkMhYUBiImNCQyFhQGIiY0vHxYWHxYAeh8WFh8WAHofFhYfFgDIFh8WFh8WFh8WFh8WFh8WFh8AAAAAAMBkAAAArwETAAHAA8AFwAAADIWFAYiJjQSMhYUBiImNBIyFhQGIiY0Aeh8WFh8WFh8WFh8WFh8WFh8WARMWHxYWHz%2ByFh8WFh8%2FshYfFhYfAAAAAMAZABkBEwETAAPAB8ALwAAEyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2fQO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PBEwPCpYKDw8KlgoP%2FnAPCpYKDw8KlgoP%2FnAPCpYKDw8KlgoPAAAABAAAAAAEsASwAA8AHwAvADMAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFhURFAYjISImNRE0NhcVITUBXgH0ory7o%2F4Mpbm5Asv9qCk7OykCWCk7O%2F2xAfQVHR0V%2FgwVHR1HAZAEsLuj%2FgylubmlAfSlucg7Kf2oKTs7KQJYKTtkHRX%2B1BUdHRUBLBUdZMjIAAAAAAEAZABkBLAETAA7AAATITIWFAYrARUzMhYUBisBFTMyFhQGKwEVMzIWFAYjISImNDY7ATUjIiY0NjsBNSMiJjQ2OwE1IyImNDaWA%2BgVHR0VMjIVHR0VMjIVHR0VMjIVHR0V%2FBgVHR0VMjIVHR0VMjIVHR0VMjIVHR0ETB0qHcgdKh3IHSodyB0qHR0qHcgdKh3IHSodyB0qHQAAAAYBLAAFA%2BgEowAHAA0AEwAZAB8AKgAAAR4BBgcuATYBMhYVIiYlFAYjNDYBMhYVIiYlFAYjNDYDFRQGIiY9ARYzMgKKVz8%2FV1c%2FP%2F75fLB8sAK8sHyw%2FcB8sHywArywfLCwHSodKAMRBKNDsrJCQrKy%2FsCwfLB8fLB8sP7UsHywfHywfLD%2B05AVHR0VjgQAAAH%2FtQDIBJQDgQBCAAABNzYXAR4BBw4BKwEyFRQOBCsBIhE0NyYiBxYVECsBIi4DNTQzIyImJyY2NwE2HwEeAQ4BLwEHIScHBi4BNgLpRRkUASoLCAYFGg8IAQQNGyc%2FKZK4ChRUFQu4jjBJJxkHAgcPGQYGCAsBKhQaTBQVCiMUM7YDe7YsFCMKFgNuEwYS%2FtkLHw8OEw0dNkY4MhwBIBgXBAQYF%2F7gKjxTQyMNEw4PHwoBKBIHEwUjKBYGDMHBDAUWKCMAAAAAAgAAAAAEsASwACUAQwAAASM0LgUrAREUFh8BFSE1Mj4DNREjIg4FFSMRIQEjNC4DKwERFBYXMxUjNTI1ESMiDgMVIzUhBLAyCAsZEyYYGcgyGRn%2BcAQOIhoWyBkYJhMZCwgyA%2Bj9RBkIChgQEWQZDQzIMmQREBgKCBkB9AOEFSAVDggDAfyuFhkBAmRkAQUJFQ4DUgEDCA4VIBUBLP0SDxMKBQH%2BVwsNATIyGQGpAQUKEw%2BWAAAAAAMAAAAABEwErgAdACAAMAAAATUiJy4BLwEBIwEGBw4BDwEVITUiJj8BIRcWBiMVARsBARUUBiMhIiY9ATQ2MyEyFgPoGR4OFgUE%2Ft9F%2FtQSFQkfCwsBETE7EkUBJT0NISf%2B7IZ5AbEdFfwYFR0dFQPoFR0BLDIgDiIKCwLr%2FQ4jFQkTBQUyMisusKYiQTIBhwFW%2Fqr942QVHR0VZBUdHQADAAAAAASwBLAADwBHAEoAABMhMhYVERQGIyEiJjURNDYFIyIHAQYHBgcGHQEUFjMhMjY9ATQmIyInJj8BIRcWBwYjIgYdARQWMyEyNj0BNCYnIicmJyMBJhMjEzIETBUdHRX7tBUdHQJGRg0F%2FtUREhImDAsJAREIDAwINxAKCj8BCjkLEQwYCAwMCAE5CAwLCBEZGQ8B%2FuAFDsVnBLAdFfu0FR0dFQRMFR1SDP0PIBMSEAUNMggMDAgyCAwXDhmjmR8YEQwIMggMDAgyBwwBGRskAuwM%2FgUBCAAABAAAAAAEsASwAAMAEwAjACcAAAEhNSEFITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NhcRIREEsPtQBLD7ggGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHUcBLARMZMgdFfx8FR0dFQOEFR0dFf5wFR0dFQGQFR1k%2FtQBLAAEAAAAAASwBLAADwAfACMAJwAAEyEyFhURFAYjISImNRE0NgEhMhYVERQGIyEiJjURNDYXESEREyE1ITIBkBUdHRX%2BcBUdHQJtAZAVHR0V%2FnAVHR1HASzI%2B1AEsASwHRX8fBUdHRUDhBUd%2FgwdFf5wFR0dFQGQFR1k%2FtQBLP2oZAAAAAACAAAAZASwA%2BgAJwArAAATITIWFREzNTQ2MyEyFh0BMxUjFRQGIyEiJj0BIxEUBiMhIiY1ETQ2AREhETIBkBUdZB0VAZAVHWRkHRX%2BcBUdZB0V%2FnAVHR0CnwEsA%2BgdFf6ilhUdHRWWZJYVHR0Vlv6iFR0dFQMgFR3%2B1P7UASwAAAQAAAAABLAEsAADABMAFwAnAAAzIxEzFyEyFhURFAYjISImNRE0NhcRIREBITIWFREUBiMhIiY1ETQ2ZGRklgGQFR0dFf5wFR0dRwEs%2FqIDhBUdHRX8fBUdHQSwZB0V%2FnAVHR0VAZAVHWT%2B1AEs%2FgwdFf5wFR0dFQGQFR0AAAAAAgBkAAAETASwACcAKwAAATMyFhURFAYrARUhMhYVERQGIyEiJjURNDYzITUjIiY1ETQ2OwE1MwcRIRECWJYVHR0VlgHCFR0dFfx8FR0dFQFelhUdHRWWZMgBLARMHRX%2BcBUdZB0V%2FnAVHR0VAZAVHWQdFQGQFR1kyP7UASwAAAAEAAAAAASwBLAAAwATABcAJwAAISMRMwUhMhYVERQGIyEiJjURNDYXESERASEyFhURFAYjISImNRE0NgSwZGT9dgGQFR0dFf5wFR0dRwEs%2FK4DhBUdHRX8fBUdHQSwZB0V%2FnAVHR0VAZAVHWT%2B1AEs%2FgwdFf5wFR0dFQGQFR0AAAEBLAAwA28EgAAPAAAJAQYjIiY1ETQ2MzIXARYUA2H%2BEhcSDhAQDhIXAe4OAjX%2BEhcbGQPoGRsX%2FhIOKgAAAAABAUEAMgOEBH4ACwAACQE2FhURFAYnASY0AU8B7h0qKh3%2BEg4CewHuHREp%2FBgpER0B7g4qAAAAAAEAMgFBBH4DhAALAAATITIWBwEGIicBJjZkA%2BgpER3%2BEg4qDv4SHREDhCod%2FhIODgHuHSoAAAAAAQAyASwEfgNvAAsAAAkBFgYjISImNwE2MgJ7Ae4dESn8GCkRHQHuDioDYf4SHSoqHQHuDgAAAAACAAgAAASwBCgABgAKAAABFQE1LQE1ASE1IQK8%2FUwBnf5jBKj84AMgAuW2%2Fr3dwcHd%2B9jIAAAAAAIAAABkBLAEsAALADEAAAEjFTMVIREzNSM1IQEzND4FOwERFAYPARUhNSIuAzURMzIeBRUzESEEsMjI%2FtTIyAEs%2B1AyCAsZEyYYGWQyGRkBkAQOIhoWZBkYJhMZCwgy%2FOADhGRkASxkZP4MFSAVDggDAf3aFhkBAmRkAQUJFQ4CJgEDCA4VIBUBLAAAAgAAAAAETAPoACUAMQAAASM0LgUrAREUFh8BFSE1Mj4DNREjIg4FFSMRIQEjFTMVIREzNSM1IQMgMggLGRMmGBlkMhkZ%2FnAEDiIaFmQZGCYTGQsIMgMgASzIyP7UyMgBLAK8FSAVDggDAf3aFhkCAWRkAQUJFQ4CJgEDCA4VIBUBLPzgZGQBLGRkAAABAMgAZgNyBEoAEgAAATMyFgcJARYGKwEiJwEmNDcBNgK9oBAKDP4wAdAMChCgDQr%2BKQcHAdcKBEoWDP4w%2FjAMFgkB1wgUCAHXCQAAAQE%2BAGYD6ARKABIAAAEzMhcBFhQHAQYrASImNwkBJjYBU6ANCgHXBwf%2BKQoNoBAKDAHQ%2FjAMCgRKCf4pCBQI%2FikJFgwB0AHQDBYAAAEAZgDIBEoDcgASAAAAFh0BFAcBBiInASY9ATQ2FwkBBDQWCf4pCBQI%2FikJFgwB0AHQA3cKEKANCv4pBwcB1woNoBAKDP4wAdAAAAABAGYBPgRKA%2BgAEgAACQEWHQEUBicJAQYmPQE0NwE2MgJqAdcJFgz%2BMP4wDBYJAdcIFAPh%2FikKDaAQCgwB0P4wDAoQoA0KAdcHAAAAAgDZ%2F%2FkEPQSwAAUAOgAAARQGIzQ2BTMyFh8BNjc%2BAh4EBgcOBgcGIiYjIgYiJy4DLwEuAT4EHgEXJyY2A%2BiwfLD%2BVmQVJgdPBQsiKFAzRyorDwURAQQSFyozTSwNOkkLDkc3EDlfNyYHBw8GDyUqPjdGMR%2BTDA0EsHywfLDIHBPCAQIGBwcFDx81S21DBxlLR1xKQhEFBQcHGWt0bCQjP2hJNyATBwMGBcASGAAAAAACAMgAFQOEBLAAFgAaAAATITIWFREUBisBEQcGJjURIyImNRE0NhcVITX6AlgVHR0Vlv8TGpYVHR2rASwEsB0V%2FnAVHf4MsgkQFQKKHRUBkBUdZGRkAAAAAgDIABkETASwAA4AEgAAEyEyFhURBRElIREjETQ2ARU3NfoC7ic9%2FUQCWP1EZB8BDWQEsFEs%2FFt1A7Z9%2FBgEARc0%2FV1kFGQAAQAAAAECTW%2FDBF9fDzz1AB8EsAAAAADQdnOXAAAAANB2c5f%2FUf%2BcBdwFFAAAAAgAAgAAAAAAAAABAAAFFP%2BFAA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%3D%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIGhvcml6LWFkdi14PSIwIiAvPgo8Z2x5cGggaG9yaXotYWR2LXg9IjQwMCIgLz4KPGdseXBoIHVuaWNvZGU9IiAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzMyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI1IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTYiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyNmZhOyIgZD0iTTc3NCAxMTkzLjVxMTYgLTkuNSAyMC41IC0yN3QtNS41IC0zMy41bC0xMzYgLTE4N2w0NjcgLTc0NmgzMHEyMCAwIDM1IC0xOC41dDE1IC0zOS41di00MmgtMTIwMHY0MnEwIDIxIDE1IDM5LjV0MzUgMTguNWgzMGw0NjggNzQ2bC0xMzUgMTgzcS0xMCAxNiAtNS41IDM0dDIwLjUgMjh0MzQgNS41dDI4IC0yMC41bDExMSAtMTQ4bDExMiAxNTBxOSAxNiAyNyAyMC41dDM0IC01ek02MDAgMjAwaDM3N2wtMTgyIDExMmwtMTk1IDUzNHYtNjQ2eiAiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI0OyIgZD0iTTEzMDAgMGgtNTM4bC00MSA0MDBoLTI0MmwtNDEgLTQwMGgtNTM4bDQzMSAxMjAwaDIwOWwtMjEgLTMwMGgxNjJsLTIwIDMwMGgyMDh6TTUxNSA4MDBsLTI3IC0zMDBoMjI0bC0yNyAzMDBoLTE3MHoiIC8%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMyOyIgZD0iTTEyNSAxMjAwaDEwNTBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di0xMTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtMTA1MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djExNTBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNXpNMTA3NSAxMDAwaC04NTBxLTEwIDAgLTE3LjUgLTcuNXQtNy41IC0xNy41di04NTBxMCAtMTAgNy41IC0xNy41dDE3LjUgLTcuNWg4NTBxMTAgMCAxNy41IDcuNXQ3LjUgMTcuNXY4NTAgcTAgMTAgLTcuNSAxNy41dC0xNy41IDcuNXpNMzI1IDkwMGg1MHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtNTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY1MHEwIDEwIDcuNSAxNy41dDE3LjUgNy41ek01MjUgOTAwaDQ1MHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtNDUwcS0xMCAwIC0xNy41IDcuNXQtNy41IDE3LjV2NTAgcTAgMTAgNy41IDE3LjV0MTcuNSA3LjV6TTMyNSA3MDBoNTBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di01MHEwIC0xMCAtNy41IC0xNy41dC0xNy41IC03LjVoLTUwcS0xMCAwIC0xNy41IDcuNXQtNy41IDE3LjV2NTBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNXpNNTI1IDcwMGg0NTBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di01MHEwIC0xMCAtNy41IC0xNy41dC0xNy41IC03LjVoLTQ1MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djUwIHEwIDEwIDcuNSAxNy41dDE3LjUgNy41ek0zMjUgNTAwaDUwcTEwIDAgMTcuNSAtNy41dDcuNSAtMTcuNXYtNTBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC01MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djUwcTAgMTAgNy41IDE3LjV0MTcuNSA3LjV6TTUyNSA1MDBoNDUwcTEwIDAgMTcuNSAtNy41dDcuNSAtMTcuNXYtNTBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC00NTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY1MCBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNXpNMzI1IDMwMGg1MHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtNTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY1MHEwIDEwIDcuNSAxNy41dDE3LjUgNy41ek01MjUgMzAwaDQ1MHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtNDUwcS0xMCAwIC0xNy41IDcuNXQtNy41IDE3LjV2NTAgcTAgMTAgNy41IDE3LjV0MTcuNSA3LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzMzsiIGQ9Ik05MDAgODAwdjIwMHEwIDgzIC01OC41IDE0MS41dC0xNDEuNSA1OC41aC0zMDBxLTgyIDAgLTE0MSAtNTl0LTU5IC0xNDF2LTIwMGgtMTAwcS00MSAwIC03MC41IC0yOS41dC0yOS41IC03MC41di02MDBxMCAtNDEgMjkuNSAtNzAuNXQ3MC41IC0yOS41aDkwMHE0MSAwIDcwLjUgMjkuNXQyOS41IDcwLjV2NjAwcTAgNDEgLTI5LjUgNzAuNXQtNzAuNSAyOS41aC0xMDB6TTQwMCA4MDB2MTUwcTAgMjEgMTUgMzUuNXQzNSAxNC41aDIwMCBxMjAgMCAzNSAtMTQuNXQxNSAtMzUuNXYtMTUwaC0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzNDsiIGQ9Ik0xMjUgMTEwMGg1MHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTEwNzVoLTEwMHYxMDc1cTAgMTAgNy41IDE3LjV0MTcuNSA3LjV6TTEwNzUgMTA1MnE0IDAgOSAtMnExNiAtNiAxNiAtMjN2LTQyMXEwIC02IC0zIC0xMnEtMzMgLTU5IC02Ni41IC05OXQtNjUuNSAtNTh0LTU2LjUgLTI0LjV0LTUyLjUgLTYuNXEtMjYgMCAtNTcuNSA2LjV0LTUyLjUgMTMuNXQtNjAgMjFxLTQxIDE1IC02MyAyMi41dC01Ny41IDE1dC02NS41IDcuNSBxLTg1IDAgLTE2MCAtNTdxLTcgLTUgLTE1IC01cS02IDAgLTExIDNxLTE0IDcgLTE0IDIydjQzOHEyMiA1NSA4MiA5OC41dDExOSA0Ni41cTIzIDIgNDMgMC41dDQzIC03dDMyLjUgLTguNXQzOCAtMTN0MzIuNSAtMTFxNDEgLTE0IDYzLjUgLTIxdDU3IC0xNHQ2My41IC03cTEwMyAwIDE4MyA4N3E3IDggMTggOHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDM5OyIgZD0iTTUwMCA5MDBoMTAwdi0xMDBoLTEwMHYtMTAwaC00MDB2LTEwMGgtMTAwdjYwMGg1MDB2LTMwMHpNMTIwMCA3MDBoLTIwMHYtMTAwaDIwMHYtMjAwaC0zMDB2MzAwaC0yMDB2MzAwaC0xMDB2MjAwaDYwMHYtNTAwek0xMDAgMTEwMHYtMzAwaDMwMHYzMDBoLTMwMHpNODAwIDExMDB2LTMwMGgzMDB2MzAwaC0zMDB6TTMwMCA5MDBoLTEwMHYxMDBoMTAwdi0xMDB6TTEwMDAgOTAwaC0xMDB2MTAwaDEwMHYtMTAwek0zMDAgNTAwaDIwMHYtNTAwIGgtNTAwdjUwMGgyMDB2MTAwaDEwMHYtMTAwek04MDAgMzAwaDIwMHYtMTAwaC0xMDB2LTEwMGgtMjAwdjEwMGgtMTAwdjEwMGgxMDB2MjAwaC0yMDB2MTAwaDMwMHYtMzAwek0xMDAgNDAwdi0zMDBoMzAwdjMwMGgtMzAwek0zMDAgMjAwaC0xMDB2MTAwaDEwMHYtMTAwek0xMjAwIDIwMGgtMTAwdjEwMGgxMDB2LTEwMHpNNzAwIDBoLTEwMHYxMDBoMTAwdi0xMDB6TTEyMDAgMGgtMzAwdjEwMGgzMDB2LTEwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQyOyIgZD0iTTUwMCAxMjAwbDY4MiAtNjgycTggLTggOCAtMTh0LTggLTE4bC00NjQgLTQ2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTY4MiA2ODJsMSA0NzVxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWg0NzR6TTgwMCAxMjAwbDY4MiAtNjgycTggLTggOCAtMTh0LTggLTE4bC00NjQgLTQ2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTU2IDU2bDQyNCA0MjZsLTcwMCA3MDBoMTUwek0zMTkuNSAxMDI0LjVxLTI5LjUgMjkuNSAtNzEgMjkuNXQtNzEgLTI5LjUgdC0yOS41IC03MS41dDI5LjUgLTcxLjV0NzEgLTI5LjV0NzEgMjkuNXQyOS41IDcxLjV0LTI5LjUgNzEuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQzOyIgZD0iTTMwMCAxMjAwaDgyNXE3NSAwIDc1IC03NXYtOTAwcTAgLTI1IC0xOCAtNDNsLTY0IC02NHEtOCAtOCAtMTMgLTUuNXQtNSAxMi41djk1MHEwIDEwIC03LjUgMTcuNXQtMTcuNSA3LjVoLTcwMHEtMjUgMCAtNDMgLTE4bC02NCAtNjRxLTggLTggLTUuNSAtMTN0MTIuNSAtNWg3MDBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di05NTBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC04NTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY5NzUgcTAgMjUgMTggNDNsMTM5IDEzOXExOCAxOCA0MyAxOHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQ5OyIgZD0iTTg3NyAxMjAwbDIgLTU3cS04MyAtMTkgLTExNiAtNDUuNXQtNDAgLTY2LjVsLTEzMiAtODM5cS05IC00OSAxMyAtNjl0OTYgLTI2di05N2gtNTAwdjk3cTE4NiAxNiAyMDAgOThsMTczIDgzMnEzIDE3IDMgMzB0LTEuNSAyMi41dC05IDE3LjV0LTEzLjUgMTIuNXQtMjEuNSAxMHQtMjYgOC41dC0zMy41IDEwcS0xMyAzIC0xOSA1djU3aDQyNXoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDU1OyIgZD0iTTUwIDExMDBoMTEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMTAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYxMDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41ek01MCA4MDBoMTEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMTAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYxMDAgcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXpNNTAgNTAwaDExMDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTEwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXpNNTAgMjAwaDExMDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTEwMCBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA1NjsiIGQ9Ik01MCAxMTAwaDEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6TTM1MCAxMTAwaDgwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC04MDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMCBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41ek01MCA4MDBoMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXpNMzUwIDgwMGg4MDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtODAwIHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXpNNTAgNTAwaDEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6TTM1MCA1MDBoODAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDAgcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC04MDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6TTUwIDIwMGgxMDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYxMDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41ek0zNTAgMjAwaDgwMCBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtODAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYxMDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNTc7IiBkPSJNNDAwIDBoLTEwMHYxMTAwaDEwMHYtMTEwMHpNNTUwIDExMDBoMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXpNNTUwIDgwMGg1MDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtNTAwIHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXpNMjY3IDU1MGwtMTY3IC0xMjV2NzVoLTIwMHYxMDBoMjAwdjc1ek01NTAgNTAwaDMwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0zMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6TTU1MCAyMDBoNjAwIHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC02MDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA1ODsiIGQ9Ik01MCAxMTAwaDEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6TTkwMCAwaC0xMDB2MTEwMGgxMDB2LTExMDB6TTUwIDgwMGg1MDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtNTAwIHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXpNMTEwMCA2MDBoMjAwdi0xMDBoLTIwMHYtNzVsLTE2NyAxMjVsMTY3IDEyNXYtNzV6TTUwIDUwMGgzMDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMzAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYxMDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41ek01MCAyMDBoNjAwIHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC02MDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA1OTsiIGQ9Ik03NSAxMDAwaDc1MHEzMSAwIDUzIC0yMnQyMiAtNTN2LTY1MHEwIC0zMSAtMjIgLTUzdC01MyAtMjJoLTc1MHEtMzEgMCAtNTMgMjJ0LTIyIDUzdjY1MHEwIDMxIDIyIDUzdDUzIDIyek0xMjAwIDMwMGwtMzAwIDMwMGwzMDAgMzAwdi02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA2MDsiIGQ9Ik00NCAxMTAwaDExMTJxMTggMCAzMSAtMTN0MTMgLTMxdi0xMDEycTAgLTE4IC0xMyAtMzF0LTMxIC0xM2gtMTExMnEtMTggMCAtMzEgMTN0LTEzIDMxdjEwMTJxMCAxOCAxMyAzMXQzMSAxM3pNMTAwIDEwMDB2LTczN2wyNDcgMTgybDI5OCAtMTMxbC03NCAxNTZsMjkzIDMxOGwyMzYgLTI4OHY1MDBoLTEwMDB6TTM0MiA4ODRxNTYgMCA5NSAtMzl0MzkgLTk0LjV0LTM5IC05NXQtOTUgLTM5LjV0LTk1IDM5LjV0LTM5IDk1dDM5IDk0LjUgdDk1IDM5eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNjI7IiBkPSJNNjQ4IDExNjlxMTE3IDAgMjE2IC02MHQxNTYuNSAtMTYxdDU3LjUgLTIxOHEwIC0xMTUgLTcwIC0yNThxLTY5IC0xMDkgLTE1OCAtMjI1LjV0LTE0MyAtMTc5LjVsLTU0IC02MnEtOSA4IC0yNS41IDI0LjV0LTYzLjUgNjcuNXQtOTEgMTAzdC05OC41IDEyOHQtOTUuNSAxNDhxLTYwIDEzMiAtNjAgMjQ5cTAgODggMzQgMTY5LjV0OTEuNSAxNDJ0MTM3IDk2LjV0MTY2LjUgMzZ6TTY1Mi41IDk3NHEtOTEuNSAwIC0xNTYuNSAtNjUgdC02NSAtMTU3dDY1IC0xNTYuNXQxNTYuNSAtNjQuNXQxNTYuNSA2NC41dDY1IDE1Ni41dC02NSAxNTd0LTE1Ni41IDY1eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNjM7IiBkPSJNNjAwIDExNzdxMTE3IDAgMjI0IC00NS41dDE4NC41IC0xMjN0MTIzIC0xODQuNXQ0NS41IC0yMjR0LTQ1LjUgLTIyNHQtMTIzIC0xODQuNXQtMTg0LjUgLTEyM3QtMjI0IC00NS41dC0yMjQgNDUuNXQtMTg0LjUgMTIzdC0xMjMgMTg0LjV0LTQ1LjUgMjI0dDQ1LjUgMjI0dDEyMyAxODQuNXQxODQuNSAxMjN0MjI0IDQ1LjV6TTYwMCAxNzN2ODU0cS0xMTYgMCAtMjE0LjUgLTU3dC0xNTUuNSAtMTU1LjV0LTU3IC0yMTQuNXQ1NyAtMjE0LjUgdDE1NS41IC0xNTUuNXQyMTQuNSAtNTd6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA2NDsiIGQ9Ik01NTQgMTI5NXEyMSAtNzIgNTcuNSAtMTQzLjV0NzYgLTEzMHQ4MyAtMTE4dDgyLjUgLTExN3Q3MCAtMTE2dDQ5LjUgLTEyNnQxOC41IC0xMzYuNXEwIC03MSAtMjUuNSAtMTM1dC02OC41IC0xMTF0LTk5IC04MnQtMTE4LjUgLTU0dC0xMjUuNSAtMjNxLTg0IDUgLTE2MS41IDM0dC0xMzkuNSA3OC41dC05OSAxMjV0LTM3IDE2NC41cTAgNjkgMTggMTM2LjV0NDkuNSAxMjYuNXQ2OS41IDExNi41dDgxLjUgMTE3LjV0ODMuNSAxMTkgdDc2LjUgMTMxdDU4LjUgMTQzek0zNDQgNzEwcS0yMyAtMzMgLTQzLjUgLTcwLjV0LTQwLjUgLTEwMi41dC0xNyAtMTIzcTEgLTM3IDE0LjUgLTY5LjV0MzAgLTUydDQxIC0zN3QzOC41IC0yNC41dDMzIC0xNXEyMSAtNyAzMiAtMXQxMyAyMmw2IDM0cTIgMTAgLTIuNSAyMnQtMTMuNSAxOXEtNSA0IC0xNCAxMnQtMjkuNSA0MC41dC0zMi41IDczLjVxLTI2IDg5IDYgMjcxcTIgMTEgLTYgMTFxLTggMSAtMTUgLTEweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNjU7IiBkPSJNMTAwMCAxMDEzbDEwOCAxMTVxMiAxIDUgMnQxMyAydDIwLjUgLTF0MjUgLTkuNXQyOC41IC0yMS41cTIyIC0yMiAyNyAtNDN0MCAtMzJsLTYgLTEwbC0xMDggLTExNXpNMzUwIDExMDBoNDAwcTUwIDAgMTA1IC0xM2wtMTg3IC0xODdoLTM2OHEtNDEgMCAtNzAuNSAtMjkuNXQtMjkuNSAtNzAuNXYtNTAwcTAgLTQxIDI5LjUgLTcwLjV0NzAuNSAtMjkuNWg1MDBxNDEgMCA3MC41IDI5LjV0MjkuNSA3MC41djE4MmwyMDAgMjAwdi0zMzIgcTAgLTE2NSAtOTMuNSAtMjU3LjV0LTI1Ni41IC05Mi41aC00MDBxLTE2NSAwIC0yNTcuNSA5Mi41dC05Mi41IDI1Ny41djQwMHEwIDE2NSA5Mi41IDI1Ny41dDI1Ny41IDkyLjV6TTEwMDkgODAzbC0zNjIgLTM2MmwtMTYxIC01MGw1NSAxNzBsMzU1IDM1NXoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDY3OyIgZD0iTTM1MCAxMTAwaDM1MHE2MCAwIDEyNyAtMjNsLTE3OCAtMTc3aC0zNDlxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTUwMHEwIC00MSAyOS41IC03MC41dDcwLjUgLTI5LjVoNTAwcTQxIDAgNzAuNSAyOS41dDI5LjUgNzAuNXY2OWwyMDAgMjAwdi0yMTlxMCAtMTY1IC05Mi41IC0yNTcuNXQtMjU3LjUgLTkyLjVoLTQwMHEtMTY1IDAgLTI1Ny41IDkyLjV0LTkyLjUgMjU3LjV2NDAwcTAgMTY1IDkyLjUgMjU3LjV0MjU3LjUgOTIuNXogTTY0MyA2MzlsMzk1IDM5NXE3IDcgMTcuNSA3dDE3LjUgLTdsMTAxIC0xMDFxNyAtNyA3IC0xNy41dC03IC0xNy41bC01MzEgLTUzMnEtNyAtNyAtMTcuNSAtN3QtMTcuNSA3bC0yNDggMjQ4cS03IDcgLTcgMTcuNXQ3IDE3LjVsMTAxIDEwMXE3IDcgMTcuNSA3dDE3LjUgLTdsMTExIC0xMTFxOCAtNyAxOCAtN3QxOCA3eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNjg7IiBkPSJNMzE4IDkxOGwyNjQgMjY0cTggOCAxOCA4dDE4IC04bDI2MCAtMjY0cTcgLTggNC41IC0xM3QtMTIuNSAtNWgtMTcwdi0yMDBoMjAwdjE3M3EwIDEwIDUgMTJ0MTMgLTVsMjY0IC0yNjBxOCAtNyA4IC0xNy41dC04IC0xNy41bC0yNjQgLTI2NXEtOCAtNyAtMTMgLTV0LTUgMTJ2MTczaC0yMDB2LTIwMGgxNzBxMTAgMCAxMi41IC01dC00LjUgLTEzbC0yNjAgLTI2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTI2NCAyNjRxLTggOCAtNS41IDEzIHQxMi41IDVoMTc1djIwMGgtMjAwdi0xNzNxMCAtMTAgLTUgLTEydC0xMyA1bC0yNjQgMjY1cS04IDcgLTggMTcuNXQ4IDE3LjVsMjY0IDI2MHE4IDcgMTMgNXQ1IC0xMnYtMTczaDIwMHYyMDBoLTE3NXEtMTAgMCAtMTIuNSA1dDUuNSAxM3oiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDY5OyIgZD0iTTI1MCAxMTAwaDEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNDM4bDQ2NCA0NTNxMTUgMTQgMjUuNSAxMHQxMC41IC0yNXYtMTAwMHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ2NCA0NTN2LTQzOHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYxMDAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcwOyIgZD0iTTUwIDExMDBoMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di00MzhsNDY0IDQ1M3ExNSAxNCAyNS41IDEwdDEwLjUgLTI1di00MzhsNDY0IDQ1M3ExNSAxNCAyNS41IDEwdDEwLjUgLTI1di0xMDAwcTAgLTIxIC0xMC41IC0yNXQtMjUuNSAxMGwtNDY0IDQ1M3YtNDM4cTAgLTIxIC0xMC41IC0yNXQtMjUuNSAxMGwtNDY0IDQ1M3YtNDM4cTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMDBxLTIxIDAgLTM1LjUgMTQuNSB0LTE0LjUgMzUuNXYxMDAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEyMDAgMTA1MHYtMTAwMHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ2NCA0NTN2LTQzOHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ5MiA0ODBxLTE1IDE0IC0xNSAzNXQxNSAzNWw0OTIgNDgwcTE1IDE0IDI1LjUgMTB0MTAuNSAtMjV2LTQzOGw0NjQgNDUzcTE1IDE0IDI1LjUgMTB0MTAuNSAtMjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3MjsiIGQ9Ik0yNDMgMTA3NGw4MTQgLTQ5OHExOCAtMTEgMTggLTI2dC0xOCAtMjZsLTgxNCAtNDk4cS0xOCAtMTEgLTMwLjUgLTR0LTEyLjUgMjh2MTAwMHEwIDIxIDEyLjUgMjh0MzAuNSAtNHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc5OyIgZD0iTTg4NSA5MDBsLTM1MiAtMzUzbDM1MiAtMzUzbC0xOTcgLTE5OGwtNTUyIDU1Mmw1NTIgNTUweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODA7IiBkPSJNMTA2NCA1NDdsLTU1MSAtNTUxbC0xOTggMTk4bDM1MyAzNTNsLTM1MyAzNTNsMTk4IDE5OHoiIC8%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk2OyIgZD0iTTg1MCAxMjAwaDMwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMzAwcTAgLTIxIC0xMC41IC0yNXQtMjQuNSAxMGwtOTQgOTRsLTI0OSAtMjQ5cS04IC03IC0xOCAtN3QtMTggN2wtMTA2IDEwNnEtNyA4IC03IDE4dDcgMThsMjQ5IDI0OWwtOTQgOTRxLTE0IDE0IC0xMCAyNC41dDI1IDEwLjV6TTM1MCAwaC0zMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djMwMHEwIDIxIDEwLjUgMjV0MjQuNSAtMTBsOTQgLTk0bDI0OSAyNDkgcTggNyAxOCA3dDE4IC03bDEwNiAtMTA2cTcgLTggNyAtMTh0LTcgLTE4bC0yNDkgLTI0OWw5NCAtOTRxMTQgLTE0IDEwIC0yNC41dC0yNSAtMTAuNXoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTAyOyIgZD0iTTI2MCAxMjAwcTkgMCAxOSAtMnQxNSAtNGw1IC0ycTIyIC0xMCA0NCAtMjNsMTk2IC0xMThxMjEgLTEzIDM2IC0yNHEyOSAtMjEgMzcgLTEycTExIDEzIDQ5IDM1bDE5NiAxMThxMjIgMTMgNDUgMjNxMTcgNyAzOCA3cTIzIDAgNDcgLTE2LjV0MzcgLTMzLjVsMTMgLTE2cTE0IC0yMSAxOCAtNDVsMjUgLTEyM2w4IC00NHExIC05IDguNSAtMTQuNXQxNy41IC01LjVoNjFxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di01MCBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC01MHEtMTAgMCAtMTcuNSAtNy41dC03LjUgLTE3LjV2LTE3NWgtNDAwdjMwMGgtMjAwdi0zMDBoLTQwMHYxNzVxMCAxMCAtNy41IDE3LjV0LTE3LjUgNy41aC01MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djUwcTAgMTAgNy41IDE3LjV0MTcuNSA3LjVoNjFxMTEgMCAxOCAzdDcgOHEwIDQgOSA1MmwyNSAxMjhxNSAyNSAxOSA0NXEyIDMgNSA3dDEzLjUgMTV0MjEuNSAxOS41dDI2LjUgMTUuNSB0MjkuNSA3ek05MTUgMTA3OWwtMTY2IC0xNjJxLTcgLTcgLTUgLTEydDEyIC01aDIxOXExMCAwIDE1IDd0MiAxN2wtNTEgMTQ5cS0zIDEwIC0xMSAxMnQtMTUgLTZ6TTQ2MyA5MTdsLTE3NyAxNTdxLTggNyAtMTYgNXQtMTEgLTEybC01MSAtMTQzcS0zIC0xMCAyIC0xN3QxNSAtN2gyMzFxMTEgMCAxMi41IDV0LTUuNSAxMnpNNTAwIDBoLTM3NXEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djM3NWg0MDB2LTQwMHpNMTEwMCA0MDB2LTM3NSBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC0zNzV2NDAwaDQwMHoiIC8%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%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%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%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%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%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%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%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%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTYyOyIgZD0iTTc5MyAxMTgybDkgLTlxOCAtMTAgNSAtMjdxLTMgLTExIC03OSAtMjI1LjV0LTc4IC0yMjEuNWwzMDAgMXEyNCAwIDMyLjUgLTE3LjV0LTUuNSAtMzUuNXEtMSAwIC0xMzMuNSAtMTU1dC0yNjcgLTMxMi41dC0xMzguNSAtMTYyLjVxLTEyIC0xNSAtMjYgLTE1aC05bC05IDhxLTkgMTEgLTQgMzJxMiA5IDQyIDEyMy41dDc5IDIyNC41bDM5IDExMGgtMzAycS0yMyAwIC0zMSAxOXEtMTAgMjEgNiA0MXE3NSA4NiAyMDkuNSAyMzcuNSB0MjI4IDI1N3Q5OC41IDExMS41cTkgMTYgMjUgMTZoOXoiIC8%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%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%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%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%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%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjIxOyIgZD0iTTQ4MCAxMTY1bDY4MiAtNjgzcTMxIC0zMSAzMSAtNzUuNXQtMzEgLTc1LjVsLTEzMSAtMTMxaC00ODFsLTUxNyA1MThxLTMyIDMxIC0zMiA3NS41dDMyIDc1LjVsMjk1IDI5NnEzMSAzMSA3NS41IDMxdDc2LjUgLTMxek0xMDggNzk0bDM0MiAtMzQybDMwMyAzMDRsLTM0MSAzNDF6TTI1MCAxMDBoODAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di01MGgtOTAwdjUwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjIzOyIgZD0iTTEwNTcgNjQ3bC0xODkgNTA2cS04IDE5IC0yNy41IDMzdC00MC41IDE0aC00MDBxLTIxIDAgLTQwLjUgLTE0dC0yNy41IC0zM2wtMTg5IC01MDZxLTggLTE5IDEuNSAtMzN0MzAuNSAtMTRoNjI1di0xNTBxMCAtMjEgMTQuNSAtMzUuNXQzNS41IC0xNC41dDM1LjUgMTQuNXQxNC41IDM1LjV2MTUwaDEyNXEyMSAwIDMwLjUgMTR0MS41IDMzek04OTcgMGgtNTk1djUwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWg1MHY1MCBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDQ4djMwMGgyMDB2LTMwMGg0N3EyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNTBoNTBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTUweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUyMjQ7IiBkPSJNOTAwIDgwMGgzMDB2LTU3NXEwIC0xMCAtNy41IC0xNy41dC0xNy41IC03LjVoLTM3NXY1OTFsLTMwMCAzMDB2ODRxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWgzNzV2LTQwMHpNMTIwMCA5MDBoLTIwMHYyMDB6TTQwMCA2MDBoMzAwdi01NzVxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC02NTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY5NTBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWgzNzV2LTQwMHpNNzAwIDcwMGgtMjAwdjIwMHogIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTIyNTsiIGQ9Ik00ODQgMTA5NWgxOTVxNzUgMCAxNDYgLTMyLjV0MTI0IC04NnQ4OS41IC0xMjIuNXQ0OC41IC0xNDJxMTggLTE0IDM1IC0yMHEzMSAtMTAgNjQuNSA2LjV0NDMuNSA0OC41cTEwIDM0IC0xNSA3MXEtMTkgMjcgLTkgNDNxNSA4IDEyLjUgMTF0MTkgLTF0MjMuNSAtMTZxNDEgLTQ0IDM5IC0xMDVxLTMgLTYzIC00NiAtMTA2LjV0LTEwNCAtNDMuNWgtNjJxLTcgLTU1IC0zNSAtMTE3dC01NiAtMTAwbC0zOSAtMjM0cS0zIC0yMCAtMjAgLTM0LjUgdC0zOCAtMTQuNWgtMTAwcS0yMSAwIC0zMyAxNC41dC05IDM0LjVsMTIgNzBxLTQ5IC0xNCAtOTEgLTE0aC0xOTVxLTI0IDAgLTY1IDhsLTExIC02NHEtMyAtMjAgLTIwIC0zNC41dC0zOCAtMTQuNWgtMTAwcS0yMSAwIC0zMyAxNC41dC05IDM0LjVsMjYgMTU3cS04NCA3NCAtMTI4IDE3NWwtMTU5IDUzcS0xOSA3IC0zMyAyNnQtMTQgNDB2NTBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDEyNHExMSA4NyA1NiAxNjZsLTExMSA5NSBxLTE2IDE0IC0xMi41IDIzLjV0MjQuNSA5LjVoMjAzcTExNiAxMDEgMjUwIDEwMXpNNjc1IDEwMDBoLTI1MHEtMTAgMCAtMTcuNSAtNy41dC03LjUgLTE3LjV2LTUwcTAgLTEwIDcuNSAtMTcuNXQxNy41IC03LjVoMjUwcTEwIDAgMTcuNSA3LjV0Ny41IDE3LjV2NTBxMCAxMCAtNy41IDE3LjV0LTE3LjUgNy41eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUyMjY7IiBkPSJNNjQxIDkwMGw0MjMgMjQ3cTE5IDggNDIgMi41dDM3IC0yMS41bDMyIC0zOHExNCAtMTUgMTIuNSAtMzZ0LTE3LjUgLTM0bC0xMzkgLTEyMGgtMzkwek01MCAxMTAwaDEwNnE2NyAwIDEwMyAtMTd0NjYgLTcxbDEwMiAtMjEyaDgyM3EyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNTBxMCAtMjEgLTE0IC00MHQtMzMgLTI2bC03MzcgLTEzMnEtMjMgLTQgLTQwIDZ0LTI2IDI1cS00MiA2NyAtMTAwIDY3aC0zMDBxLTYyIDAgLTEwNiA0NCB0LTQ0IDEwNnYyMDBxMCA2MiA0NCAxMDZ0MTA2IDQ0ek0xNzMgOTI4aC04MHEtMTkgMCAtMjggLTE0dC05IC0zNXYtNTZxMCAtNTEgNDIgLTUxaDEzNHExNiAwIDIxLjUgOHQ1LjUgMjRxMCAxMSAtMTYgNDV0LTI3IDUxcS0xOCAyOCAtNDMgMjh6TTU1MCA3MjdxLTMyIDAgLTU0LjUgLTIyLjV0LTIyLjUgLTU0LjV0MjIuNSAtNTQuNXQ1NC41IC0yMi41dDU0LjUgMjIuNXQyMi41IDU0LjV0LTIyLjUgNTQuNXQtNTQuNSAyMi41ek0xMzAgMzg5IGwxNTIgMTMwcTE4IDE5IDM0IDI0dDMxIC0zLjV0MjQuNSAtMTcuNXQyNS41IC0yOHEyOCAtMzUgNTAuNSAtNTF0NDguNSAtMTNsNjMgNWw0OCAtMTc5cTEzIC02MSAtMy41IC05Ny41dC02Ny41IC03OS41bC04MCAtNjlxLTQ3IC00MCAtMTA5IC0zNS41dC0xMDMgNTEuNWwtMTMwIDE1MXEtNDAgNDcgLTM1LjUgMTA5LjV0NTEuNSAxMDIuNXpNMzgwIDM3N2wtMTAyIC04OHEtMzEgLTI3IDIgLTY1bDM3IC00M3ExMyAtMTUgMjcuNSAtMTkuNSB0MzEuNSA2LjVsNjEgNTNxMTkgMTYgMTQgNDlxLTIgMjAgLTEyIDU2dC0xNyA0NXEtMTEgMTIgLTE5IDE0dC0yMyAtOHoiIC8%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUwOyIgZD0iTTg2NSA1NjVsLTQ5NCAtNDk0cS0yMyAtMjMgLTQxIC0yM3EtMTQgMCAtMjIgMTMuNXQtOCAzOC41djEwMDBxMCAyNSA4IDM4LjV0MjIgMTMuNXExOCAwIDQxIC0yM2w0OTQgLTQ5NHExNCAtMTQgMTQgLTM1dC0xNCAtMzV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTI1MTsiIGQ9Ik0zMzUgNjM1bDQ5NCA0OTRxMjkgMjkgNTAgMjAuNXQyMSAtNDkuNXYtMTAwMHEwIC00MSAtMjEgLTQ5LjV0LTUwIDIwLjVsLTQ5NCA0OTRxLTE0IDE0IC0xNCAzNXQxNCAzNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUyOyIgZD0iTTEwMCA5MDBoMTAwMHE0MSAwIDQ5LjUgLTIxdC0yMC41IC01MGwtNDk0IC00OTRxLTE0IC0xNCAtMzUgLTE0dC0zNSAxNGwtNDk0IDQ5NHEtMjkgMjkgLTIwLjUgNTB0NDkuNSAyMXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUzOyIgZD0iTTYzNSA4NjVsNDk0IC00OTRxMjkgLTI5IDIwLjUgLTUwdC00OS41IC0yMWgtMTAwMHEtNDEgMCAtNDkuNSAyMXQyMC41IDUwbDQ5NCA0OTRxMTQgMTQgMzUgMTR0MzUgLTE0eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUyNTQ7IiBkPSJNNzAwIDc0MXYtMTgybC02OTIgLTMyM3YyMjFsNDEzIDE5M2wtNDEzIDE5M3YyMjF6TTEyMDAgMGgtODAwdjIwMGg4MDB2LTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjU1OyIgZD0iTTEyMDAgOTAwaC0yMDB2LTEwMGgyMDB2LTEwMGgtMzAwdjMwMGgyMDB2MTAwaC0yMDB2MTAwaDMwMHYtMzAwek0wIDcwMGg1MHEwIDIxIDQgMzd0OS41IDI2LjV0MTggMTcuNXQyMiAxMXQyOC41IDUuNXQzMSAydDM3IDAuNWgxMDB2LTU1MHEwIC0yMiAtMjUgLTM0LjV0LTUwIC0xMy41bC0yNSAtMnYtMTAwaDQwMHYxMDBxLTQgMCAtMTEgMC41dC0yNCAzdC0zMCA3dC0yNCAxNXQtMTEgMjQuNXY1NTBoMTAwcTI1IDAgMzcgLTAuNXQzMSAtMiB0MjguNSAtNS41dDIyIC0xMXQxOCAtMTcuNXQ5LjUgLTI2LjV0NCAtMzdoNTB2MzAwaC04MDB2LTMwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjU2OyIgZD0iTTgwMCA3MDBoLTUwcTAgMjEgLTQgMzd0LTkuNSAyNi41dC0xOCAxNy41dC0yMiAxMXQtMjguNSA1LjV0LTMxIDJ0LTM3IDAuNWgtMTAwdi01NTBxMCAtMjIgMjUgLTM0LjV0NTAgLTE0LjVsMjUgLTF2LTEwMGgtNDAwdjEwMHE0IDAgMTEgMC41dDI0IDN0MzAgN3QyNCAxNXQxMSAyNC41djU1MGgtMTAwcS0yNSAwIC0zNyAtMC41dC0zMSAtMnQtMjguNSAtNS41dC0yMiAtMTF0LTE4IC0xNy41dC05LjU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<h1 class="title toc-ignore">2021 US MTurk IHL Survey Code</h1>

</div>


<div id="packages" class="section level1">
<h1>Packages</h1>
</div>
<div id="pap-work" class="section level1">
<h1>PAP Work</h1>
<div id="input-emotions-data-together" class="section level2">
<h2>Input Emotions Data Together</h2>
<pre class="r"><code># Put Emotional Humanity and Valence Information Together
Humanity &lt;- c(5.63, 5.44, 5.44, 5.15, 4.7, 5.48, 5.37, 5.19, 4.93, 4.7, 2.93, 2.37, 1.85, 1.59, 3.07, 2.3, 2.85, 2.37, 2.74, 3.52) 
Valence &lt;- c(6.07, 4.89, 6.3, 5.63, 6.96, 2.52, 2.52, 2.11, 2.04, 2.26, 2, 2.59,  2.78, 2.37, 2.44, 5.3, 5.81, 6.67, 6.59, 5.52) 
Emotion &lt;- c(&quot;Optimism&quot;, &quot;Nostalgia&quot;, &quot;Hope&quot;, &quot;Admiration&quot;, &quot;Love&quot;, &quot;Humiliation&quot;, &quot;Guilt&quot;, &quot;Resentment&quot;, &quot;Disgust&quot;, &quot;Disenchantment&quot;, &quot;Irritation&quot;, &quot;Anger&quot;, &quot;Fear&quot;, &quot;Pain&quot;, &quot;Sadness&quot;, &quot;Surprise&quot;, &quot;Calmness&quot;, &quot;Affection&quot;, &quot;Caring&quot;, &quot;Desire&quot;)
prim_sec_emotions_df &lt;- data.frame(Emotion, Humanity, Valence)</code></pre>
</div>
<div id="emotions-dimensionality-t-test-and-random-shuffle-of-emotions" class="section level2">
<h2>Emotions Dimensionality T-Test and Random Shuffle of Emotions</h2>
<pre class="r"><code>t.test(prim_sec_emotions_df$Humanity[1:5], prim_sec_emotions_df$Humanity[6:10]) # T-test of humanity between negative and positive secondary emotions = NOT significant difference</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  prim_sec_emotions_df$Humanity[1:5] and prim_sec_emotions_df$Humanity[6:10]
## t = 0.63818, df = 7.8743, p-value = 0.5415
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.3620407  0.6380407
## sample estimates:
## mean of x mean of y 
##     5.272     5.134</code></pre>
<pre class="r"><code>t.test(prim_sec_emotions_df$Valence[1:5], prim_sec_emotions_df$Valence[16:20]) # T-test of positive primary and secondary valence scores = NOT significant difference</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  prim_sec_emotions_df$Valence[1:5] and prim_sec_emotions_df$Valence[16:20]
## t = -0.018042, df = 7.6588, p-value = 0.9861
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1.038466  1.022466
## sample estimates:
## mean of x mean of y 
##     5.970     5.978</code></pre>
<pre class="r"><code>t.test(prim_sec_emotions_df$Valence[6:10], prim_sec_emotions_df$Valence[11:15]) # T-test of negative primary and secondary valence scores = NOT significant difference</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  prim_sec_emotions_df$Valence[6:10] and prim_sec_emotions_df$Valence[11:15]
## t = -0.89008, df = 7.5268, p-value = 0.401
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.5284341  0.2364341
## sample estimates:
## mean of x mean of y 
##     2.290     2.436</code></pre>
<pre class="r"><code>t.test(prim_sec_emotions_df$Valence[1:10], prim_sec_emotions_df$Valence[11:20]) # T-test of overall primary and secondary valence scores = NOT significant difference</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  prim_sec_emotions_df$Valence[1:10] and prim_sec_emotions_df$Valence[11:20]
## t = -0.087503, df = 17.962, p-value = 0.9312
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1.926017  1.772017
## sample estimates:
## mean of x mean of y 
##     4.130     4.207</code></pre>
<pre class="r"><code>t.test(prim_sec_emotions_df$Humanity[1:10], prim_sec_emotions_df$Humanity[11:20]) # T-test of humanity of primary and secondary emotions = YES significant difference</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  prim_sec_emotions_df$Humanity[1:10] and prim_sec_emotions_df$Humanity[11:20]
## t = 12.537, df = 14.297, p-value = 4.171e-09
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  2.192567 3.095433
## sample estimates:
## mean of x mean of y 
##     5.203     2.559</code></pre>
<pre class="r"><code>t.test(prim_sec_emotions_df$Valence[1:5 &amp; 16:20], prim_sec_emotions_df$Valence[6:15]) #T-test of valence of positive v. negative = YES significant difference</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  prim_sec_emotions_df$Valence[1:5 &amp; 16:20] and prim_sec_emotions_df$Valence[6:15]
## t = 4.1416, df = 20.33, p-value = 0.0004906
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  0.8970868 2.7139132
## sample estimates:
## mean of x mean of y 
##    4.1685    2.3630</code></pre>
<pre class="r"><code># Shuffle the rows randomly
set.seed(1234)
random_emotions &lt;- sample(nrow(prim_sec_emotions_df))
prim_sec_emotions_random &lt;- prim_sec_emotions_df[random_emotions, ]
prim_sec_emotions_random # random assignment</code></pre>
<pre><code>##           Emotion Humanity Valence
## 16       Surprise     2.30    5.30
## 5            Love     4.70    6.96
## 12          Anger     2.37    2.59
## 15        Sadness     3.07    2.44
## 9         Disgust     4.93    2.04
## 19         Caring     2.74    6.59
## 6     Humiliation     5.48    2.52
## 4      Admiration     5.15    5.63
## 2       Nostalgia     5.44    4.89
## 7           Guilt     5.37    2.52
## 14           Pain     1.59    2.37
## 10 Disenchantment     4.70    2.26
## 11     Irritation     2.93    2.00
## 20         Desire     3.52    5.52
## 13           Fear     1.85    2.78
## 8      Resentment     5.19    2.11
## 17       Calmness     2.85    5.81
## 1        Optimism     5.63    6.07
## 18      Affection     2.37    6.67
## 3            Hope     5.44    6.30</code></pre>
<pre class="r"><code>prim_sec_emotions_df # original dataframe</code></pre>
<pre><code>##           Emotion Humanity Valence
## 1        Optimism     5.63    6.07
## 2       Nostalgia     5.44    4.89
## 3            Hope     5.44    6.30
## 4      Admiration     5.15    5.63
## 5            Love     4.70    6.96
## 6     Humiliation     5.48    2.52
## 7           Guilt     5.37    2.52
## 8      Resentment     5.19    2.11
## 9         Disgust     4.93    2.04
## 10 Disenchantment     4.70    2.26
## 11     Irritation     2.93    2.00
## 12          Anger     2.37    2.59
## 13           Fear     1.85    2.78
## 14           Pain     1.59    2.37
## 15        Sadness     3.07    2.44
## 16       Surprise     2.30    5.30
## 17       Calmness     2.85    5.81
## 18      Affection     2.37    6.67
## 19         Caring     2.74    6.59
## 20         Desire     3.52    5.52</code></pre>
</div>
</div>
<div id="thesis-work" class="section level1">
<h1>Thesis Work</h1>
<div id="condition-variable" class="section level2">
<h2>Condition Variable</h2>
<pre class="r"><code># Import the dataset and delete the first two rows

emotions_survey_text &lt;- read_csv(&quot;2021.US.MTurk.IHL.Survey.Data.csv&quot;)</code></pre>
<pre><code>## Parsed with column specification:
## cols(
##   .default = col_character(),
##   X3 = col_logical(),
##   X8 = col_logical()
## )</code></pre>
<pre><code>## See spec(...) for full column specifications.</code></pre>
<pre class="r"><code>emotions_survey_text &lt;- emotions_survey_text[-c(1:2),] # delete the first two descriptive rows

# Make the Condition Variable

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(Condition = ifelse(is.na(age_question_1) == F, 1, ifelse(is.na(vegi_question) == F, 2, 0)))</code></pre>
</div>
<div id="emotions-score-outcome-variable" class="section level2">
<h2>Emotions Score Outcome Variable</h2>
<pre class="r"><code>emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  separate(emotions, into = c(&quot;e1&quot;, &quot;e2&quot;, &quot;e3&quot;, &quot;e4&quot;, &quot;e5&quot;, &quot;e6&quot;, &quot;e7&quot;, &quot;e8&quot;, &quot;e9&quot;, &quot;e10&quot;), sep = &quot;,&quot;, remove = F) %&gt;% # remove = F ensures that not removing the original input from the output dataframe
  
  mutate(e2_1 = ifelse(e2 == &quot;Anger&quot;, 0, ifelse(e2 == &quot;Sadness&quot;, 0, ifelse(e2 == &quot;Optimism&quot;, 1, ifelse(e2 == &quot;Nostalgia&quot;, 1, ifelse(e2 == &quot;Hope&quot;, 1, ifelse(e2 == &quot;Admiration&quot;, 1, ifelse(e2 == &quot;Love&quot;, 1, ifelse(e2 == &quot;Humiliation&quot;, 1, ifelse(e2 == &quot;Guilt&quot;, 1, ifelse(e2 == &quot;Resentment&quot;, 1, ifelse(e2 == &quot;Disgust&quot;, 1, ifelse(e2 == &quot;Disenchantment&quot;, 1, ifelse(e2 == &quot;Irritation&quot;, 0, ifelse(e2 == &quot;Fear&quot;, 0, ifelse(e2 == &quot;Pain&quot;, 0, ifelse(e2 == &quot;Surprise&quot;, 0, ifelse(e2 == &quot;Calmness&quot;, 0, ifelse(e2 == &quot;Affection&quot;, 0, ifelse(e2 == &quot;Caring&quot;, 0, ifelse(e2 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;% 
  
  mutate(e1_1 = ifelse(e1 == &quot;Anger&quot;, 0, ifelse(e1 == &quot;Sadness&quot;, 0, ifelse(e1 == &quot;Optimism&quot;, 1, ifelse(e1 == &quot;Nostalgia&quot;, 1, ifelse(e1 == &quot;Hope&quot;, 1, ifelse(e1 == &quot;Admiration&quot;, 1, ifelse(e1 == &quot;Love&quot;, 1, ifelse(e1 == &quot;Humiliation&quot;, 1, ifelse(e1 == &quot;Guilt&quot;, 1, ifelse(e1 == &quot;Resentment&quot;, 1, ifelse(e1 == &quot;Disgust&quot;, 1, ifelse(e1 == &quot;Disenchantment&quot;, 1, ifelse(e1 == &quot;Irritation&quot;, 0, ifelse(e1 == &quot;Fear&quot;, 0, ifelse(e1 == &quot;Pain&quot;, 0, ifelse(e1 == &quot;Surprise&quot;, 0, ifelse(e1 == &quot;Calmness&quot;, 0, ifelse(e1 == &quot;Affection&quot;, 0, ifelse(e1 == &quot;Caring&quot;, 0, ifelse(e1 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e4_1 = ifelse(e4 == &quot;Anger&quot;, 0, ifelse(e4 == &quot;Sadness&quot;, 0, ifelse(e4 == &quot;Optimism&quot;, 1, ifelse(e4 == &quot;Nostalgia&quot;, 1, ifelse(e4 == &quot;Hope&quot;, 1, ifelse(e4 == &quot;Admiration&quot;, 1, ifelse(e4 == &quot;Love&quot;, 1, ifelse(e4 == &quot;Humiliation&quot;, 1, ifelse(e4 == &quot;Guilt&quot;, 1, ifelse(e4 == &quot;Resentment&quot;, 1, ifelse(e4 == &quot;Disgust&quot;, 1, ifelse(e4 == &quot;Disenchantment&quot;, 1, ifelse(e4 == &quot;Irritation&quot;, 0, ifelse(e4 == &quot;Fear&quot;, 0, ifelse(e4 == &quot;Pain&quot;, 0, ifelse(e4 == &quot;Surprise&quot;, 0, ifelse(e4 == &quot;Calmness&quot;, 0, ifelse(e4 == &quot;Affection&quot;, 0, ifelse(e4 == &quot;Caring&quot;, 0, ifelse(e4 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e3_1 = ifelse(e3 == &quot;Anger&quot;, 0, ifelse(e3 == &quot;Sadness&quot;, 0, ifelse(e3 == &quot;Optimism&quot;, 1, ifelse(e3 == &quot;Nostalgia&quot;, 1, ifelse(e3 == &quot;Hope&quot;, 1, ifelse(e3 == &quot;Admiration&quot;, 1, ifelse(e3 == &quot;Love&quot;, 1, ifelse(e3 == &quot;Humiliation&quot;, 1, ifelse(e3 == &quot;Guilt&quot;, 1, ifelse(e3 == &quot;Resentment&quot;, 1, ifelse(e3 == &quot;Disgust&quot;, 1, ifelse(e3 == &quot;Disenchantment&quot;, 1, ifelse(e3 == &quot;Irritation&quot;, 0, ifelse(e3 == &quot;Fear&quot;, 0, ifelse(e3 == &quot;Pain&quot;, 0, ifelse(e3 == &quot;Surprise&quot;, 0, ifelse(e3 == &quot;Calmness&quot;, 0, ifelse(e3 == &quot;Affection&quot;, 0, ifelse(e3 == &quot;Caring&quot;, 0, ifelse(e3 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e5_1 = ifelse(e5 == &quot;Anger&quot;, 0, ifelse(e5 == &quot;Sadness&quot;, 0, ifelse(e5 == &quot;Optimism&quot;, 1, ifelse(e5 == &quot;Nostalgia&quot;, 1, ifelse(e5 == &quot;Hope&quot;, 1, ifelse(e5 == &quot;Admiration&quot;, 1, ifelse(e5 == &quot;Love&quot;, 1, ifelse(e5 == &quot;Humiliation&quot;, 1, ifelse(e5 == &quot;Guilt&quot;, 1, ifelse(e5 == &quot;Resentment&quot;, 1, ifelse(e5 == &quot;Disgust&quot;, 1, ifelse(e5 == &quot;Disenchantment&quot;, 1, ifelse(e5 == &quot;Irritation&quot;, 0, ifelse(e5 == &quot;Fear&quot;, 0, ifelse(e5 == &quot;Pain&quot;, 0, ifelse(e5 == &quot;Surprise&quot;, 0, ifelse(e5 == &quot;Calmness&quot;, 0, ifelse(e5 == &quot;Affection&quot;, 0, ifelse(e5 == &quot;Caring&quot;, 0, ifelse(e5 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e6_1 = ifelse(e6 == &quot;Anger&quot;, 0, ifelse(e6 == &quot;Sadness&quot;, 0, ifelse(e6 == &quot;Optimism&quot;, 1, ifelse(e6 == &quot;Nostalgia&quot;, 1, ifelse(e6 == &quot;Hope&quot;, 1, ifelse(e6 == &quot;Admiration&quot;, 1, ifelse(e6 == &quot;Love&quot;, 1, ifelse(e6 == &quot;Humiliation&quot;, 1, ifelse(e6 == &quot;Guilt&quot;, 1, ifelse(e6 == &quot;Resentment&quot;, 1, ifelse(e6 == &quot;Disgust&quot;, 1, ifelse(e6 == &quot;Disenchantment&quot;, 1, ifelse(e6 == &quot;Irritation&quot;, 0, ifelse(e6 == &quot;Fear&quot;, 0, ifelse(e6 == &quot;Pain&quot;, 0, ifelse(e6 == &quot;Surprise&quot;, 0, ifelse(e6 == &quot;Calmness&quot;, 0, ifelse(e6 == &quot;Affection&quot;, 0, ifelse(e6 == &quot;Caring&quot;, 0, ifelse(e6 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e7_1 = ifelse(e7 == &quot;Anger&quot;, 0, ifelse(e7 == &quot;Sadness&quot;, 0, ifelse(e7 == &quot;Optimism&quot;, 1, ifelse(e7 == &quot;Nostalgia&quot;, 1, ifelse(e7 == &quot;Hope&quot;, 1, ifelse(e7 == &quot;Admiration&quot;, 1, ifelse(e7 == &quot;Love&quot;, 1, ifelse(e7 == &quot;Humiliation&quot;, 1, ifelse(e7 == &quot;Guilt&quot;, 1, ifelse(e7 == &quot;Resentment&quot;, 1, ifelse(e7 == &quot;Disgust&quot;, 1, ifelse(e7 == &quot;Disenchantment&quot;, 1, ifelse(e7 == &quot;Irritation&quot;, 0, ifelse(e7 == &quot;Fear&quot;, 0, ifelse(e7 == &quot;Pain&quot;, 0, ifelse(e7 == &quot;Surprise&quot;, 0, ifelse(e7 == &quot;Calmness&quot;, 0, ifelse(e7 == &quot;Affection&quot;, 0, ifelse(e7 == &quot;Caring&quot;, 0, ifelse(e7 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e8_1 = ifelse(e8 == &quot;Anger&quot;, 0, ifelse(e8 == &quot;Sadness&quot;, 0, ifelse(e8 == &quot;Optimism&quot;, 1, ifelse(e8 == &quot;Nostalgia&quot;, 1, ifelse(e8 == &quot;Hope&quot;, 1, ifelse(e8 == &quot;Admiration&quot;, 1, ifelse(e8 == &quot;Love&quot;, 1, ifelse(e8 == &quot;Humiliation&quot;, 1, ifelse(e8 == &quot;Guilt&quot;, 1, ifelse(e8 == &quot;Resentment&quot;, 1, ifelse(e8 == &quot;Disgust&quot;, 1, ifelse(e8 == &quot;Disenchantment&quot;, 1, ifelse(e8 == &quot;Irritation&quot;, 0, ifelse(e8 == &quot;Fear&quot;, 0, ifelse(e8 == &quot;Pain&quot;, 0, ifelse(e8 == &quot;Surprise&quot;, 0, ifelse(e8 == &quot;Calmness&quot;, 0, ifelse(e8 == &quot;Affection&quot;, 0, ifelse(e8 == &quot;Caring&quot;, 0, ifelse(e8 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e9_1 = ifelse(e9 == &quot;Anger&quot;, 0, ifelse(e9 == &quot;Sadness&quot;, 0, ifelse(e9 == &quot;Optimism&quot;, 1, ifelse(e9 == &quot;Nostalgia&quot;, 1, ifelse(e9 == &quot;Hope&quot;, 1, ifelse(e9 == &quot;Admiration&quot;, 1, ifelse(e9 == &quot;Love&quot;, 1, ifelse(e9 == &quot;Humiliation&quot;, 1, ifelse(e9 == &quot;Guilt&quot;, 1, ifelse(e9 == &quot;Resentment&quot;, 1, ifelse(e9 == &quot;Disgust&quot;, 1, ifelse(e9 == &quot;Disenchantment&quot;, 1, ifelse(e9 == &quot;Irritation&quot;, 0, ifelse(e9 == &quot;Fear&quot;, 0, ifelse(e9 == &quot;Pain&quot;, 0, ifelse(e9 == &quot;Surprise&quot;, 0, ifelse(e9 == &quot;Calmness&quot;, 0, ifelse(e9 == &quot;Affection&quot;, 0, ifelse(e9 == &quot;Caring&quot;, 0, ifelse(e9 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e10_1 = ifelse(e10 == &quot;Anger&quot;, 0, ifelse(e10 == &quot;Sadness&quot;, 0, ifelse(e10 == &quot;Optimism&quot;, 1, ifelse(e10 == &quot;Nostalgia&quot;, 1, ifelse(e10 == &quot;Hope&quot;, 1, ifelse(e10 == &quot;Admiration&quot;, 1, ifelse(e10 == &quot;Love&quot;, 1, ifelse(e10 == &quot;Humiliation&quot;, 1, ifelse(e10 == &quot;Guilt&quot;, 1, ifelse(e10 == &quot;Resentment&quot;, 1, ifelse(e10 == &quot;Disgust&quot;, 1, ifelse(e10 == &quot;Disenchantment&quot;, 1, ifelse(e10 == &quot;Irritation&quot;, 0, ifelse(e10 == &quot;Fear&quot;, 0, ifelse(e10 == &quot;Pain&quot;, 0, ifelse(e10 == &quot;Surprise&quot;, 0, ifelse(e10 == &quot;Calmness&quot;, 0, ifelse(e10 == &quot;Affection&quot;, 0, ifelse(e10 == &quot;Caring&quot;, 0, ifelse(e10 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) 

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(EmotionScore = rowSums(emotions_survey_text[,93:102]))</code></pre>
</div>
<div id="moral-exclusion-score" class="section level2">
<h2>Moral Exclusion score</h2>
<pre class="r"><code>emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(morals1_1 = ifelse(morals1 == &quot;Totally unacceptable&quot;, 7, ifelse(morals1 == &quot;Unacceptable&quot;, 6, ifelse(morals1 == &quot;Slightly unacceptable&quot;, 5, ifelse(morals1 == &quot;Neutral&quot;, 4, ifelse(morals1 == &quot;Slightly acceptable&quot;, 3, ifelse(morals1 == &quot;Acceptable&quot;, 2, ifelse(morals1 == &quot;Perfectly acceptable&quot;, 1, NA)))))))) %&gt;%

  mutate(morals2_1 = ifelse(morals2 == &quot;Totally unacceptable&quot;, 7, ifelse(morals2 == &quot;Unacceptable&quot;, 6, ifelse(morals2 == &quot;Slightly unacceptable&quot;, 5, ifelse(morals2 == &quot;Neutral&quot;, 4, ifelse(morals2 == &quot;Slightly acceptable&quot;, 3, ifelse(morals2 == &quot;Acceptable&quot;, 2, ifelse(morals2 == &quot;Perfectly Acceptable&quot;, 1, NA)))))))) %&gt;%
  
  mutate(morals3_1 = ifelse(morals3 == &quot;Totally unacceptable&quot;, 7, ifelse(morals3 == &quot;Unacceptable&quot;, 6, ifelse(morals3 == &quot;Slightly unacceptable&quot;, 5, ifelse(morals3 == &quot;Neutral&quot;, 4, ifelse(morals3 == &quot;Slightly acceptable&quot;, 3, ifelse(morals3 == &quot;Acceptable&quot;, 2, ifelse(morals3 == &quot;Perfectly acceptable&quot;, 1, NA)))))))) %&gt;%
  
  mutate(morals4_1 = ifelse(morals4 == &quot;Totally unacceptable&quot;, 7, ifelse(morals4 == &quot;Unacceptable&quot;, 6, ifelse(morals4 == &quot;Slightly unacceptable&quot;, 5, ifelse(morals4 == &quot;Neutral&quot;, 4, ifelse(morals4 == &quot;Slightly acceptable&quot;, 3, ifelse(morals4 == &quot;Acceptable&quot;, 2, ifelse(morals4 == &quot;Perfectly acceptable&quot;, 1, NA)))))))) %&gt;%
  
  mutate(morals5_1 = ifelse(morals5 == &quot;Totally unacceptable&quot;, 7, ifelse(morals5 == &quot;Unacceptable&quot;, 6, ifelse(morals5 == &quot;Slightly unacceptable&quot;, 5, ifelse(morals5 == &quot;Neutral&quot;, 4, ifelse(morals5 == &quot;Slightly acceptable&quot;, 3, ifelse(morals5 == &quot;Acceptable&quot;, 2, ifelse(morals5 == &quot;Perfectly acceptable&quot;, 1, NA)))))))) %&gt;%
  
  mutate(morals6_1 = ifelse(morals6 == &quot;Totally unacceptable&quot;, 7, ifelse(morals6 == &quot;Unacceptable&quot;, 6, ifelse(morals6 == &quot;Slightly unacceptable&quot;, 5, ifelse(morals6 == &quot;Neutral&quot;, 4, ifelse(morals6 == &quot;Slightly acceptable&quot;, 3, ifelse(morals6 == &quot;Acceptable&quot;, 2, ifelse(morals6 == &quot;Perfectly acceptable&quot;, 1, NA)))))))) 

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(MoralScore = rowMeans(emotions_survey_text[,104:109]))</code></pre>
</div>
<div id="pre-treatment-covariates-timing-and-post-treatment-followup-questions" class="section level2">
<h2>Pre-treatment covariates, timing and post-treatment followup questions</h2>
<pre class="r"><code># Age (in years) 

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(age = as.numeric(age_years_1))

# Nationality

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(Nationality = ifelse(nationality == &quot;United States of America&quot;, 1, ifelse(nationality != &quot;United States of America&quot;, 0, NA))) # The effect of being a national of the USA as opposed to other countries

# NatID

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(NatID = ifelse(nat_id == &quot;Not at all&quot;, 1, ifelse(nat_id == &quot;A little&quot;, 2, ifelse(nat_id == &quot;A moderate amount&quot;, 3, ifelse(nat_id == &quot;A lot&quot;, 4, ifelse(nat_id == &quot;A great deal&quot;, 5, NA)))))) # increasing NatID, increased identification with nationality

# Gender 

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(Gender = ifelse(gender == &quot;Male&quot;, 1, ifelse(gender == &quot;Female&quot;, 2, ifelse(gender == &quot;Non-binary&quot;, 3, ifelse(gender == &quot;Other&quot;, 4, NA)))))


# Religion

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(Religion = ifelse(religion == &quot;Yes&quot;, 1, ifelse(religion == &quot;No&quot;, 0, NA))) %&gt;%
  
  mutate(ReligType = ifelse(relig_type == &quot;Christianity&quot;, 1, ifelse(relig_type == &quot;Judaism&quot;, 2, ifelse(relig_type == &quot;Islam&quot;, 3, ifelse(relig_type == &quot;Hinduism&quot;, 4, ifelse(relig_type == &quot;Buddhism&quot;, 5, ifelse(relig_type == &quot;Sikhism&quot;, 6, ifelse(relig_type == &quot;Other&quot;, 7, NA)))))))) 

# Race

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(Race = ifelse(race == &quot;White&quot;, 1, ifelse(race == &quot;Hispanic or Latino&quot;, 2, ifelse(race == &quot;Black or African American&quot;, 3, ifelse(race == &quot;Asian&quot;, 4, ifelse(race == &quot;American Indian or Alaska Native&quot;, 5, ifelse(race == &quot;Native Hawaiian or Other Pacific Islander&quot;, 6, ifelse(race == &quot;Mix/Other&quot;, 7, NA))))))))

# PolID

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(PolID = ifelse(politics == &quot;Extremely Liberal&quot;, 1, ifelse(politics == &quot;Liberal&quot;, 2, ifelse(politics == &quot;Moderate&quot;, 3, ifelse(politics == &quot;Conservative&quot;, 4, ifelse(politics == &quot;Extremely Conservative&quot;, 5, NA)))))) # Higher score as more conservative

# Combatant

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(Combatant = ifelse(combat1 == &quot;No&quot;, 0, ifelse(combat1 == &quot;Yes, government soldier&quot;, 1, ifelse(combat1 == &quot;Yes, other combatant&quot;, 1, NA)))) 

# CombExp

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(CombExp = ifelse(combat2 == &quot;No&quot;, 0, ifelse(combat2 == &quot;Yes, in combat&quot;, 1, ifelse(combat2 == &quot;Yes, near combat&quot;, 1, NA))))


# ConflZone 

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(ConflZone = ifelse(confl_zone == &quot;No&quot;, 0, ifelse(confl_zone == &quot;Yes&quot;, 1, NA)))

# IHLScore

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(ihl1_1 = ifelse(ihl1 == &quot;Yes&quot;, 1, ifelse(ihl1 == &quot;No&quot;, 0, NA))) %&gt;%
  
  mutate(ihl2_1 = ifelse(ihl2 == &quot;Yes&quot;, 0, ifelse(ihl2 == &quot;No&quot;, 1, NA))) %&gt;%
  
  mutate(ihl3_1 = ifelse(ihl3 == &quot;Yes&quot;, 0, ifelse(ihl3 == &quot;No&quot;, 1, NA))) %&gt;%
  
  mutate(ihl4_1 = ifelse(ihl4 == &quot;Yes&quot;, 1, ifelse(ihl4 == &quot;No&quot;, 0, NA))) %&gt;%
  
  mutate(ihl5_1 = ifelse(ihl5 == &quot;Yes&quot;, 0, ifelse(ihl5 == &quot;No&quot;, 1, NA))) %&gt;%
  
  mutate(ihl6_1 = ifelse(ihl6 == &quot;Yes&quot;, 1, ifelse(ihl6 == &quot;No&quot;, 0, NA)))

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(IHLScore = rowSums(emotions_survey_text[,122:127])/6)


# followup1 Compliance - In the passage you read earlier, which of the following was involved or questioned about?

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(followup1_1 = ifelse(followup1 == &quot;A soccer match&quot;, 0, ifelse(followup1 == &quot;Soldiers&#39; average age&quot;, 1, ifelse(followup1 == &quot;Soldiers&#39; food preference&quot;, 2, NA))))

# followup2 - Non-naivete: Have you completed a survey substantially similar to this one before?

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(followup2_1 = ifelse(followup2 == &quot;No&quot;, 0, ifelse(followup2 == &quot;Yes&quot;, 1, NA)))

# followup3 - Compliers: Is followup1 = Condition? 

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(followup3_1 = ifelse(followup1_1 == Condition, 1, ifelse(followup1_1 != Condition, 0, NA)))

# Duration Variable - Time to take the whole survey

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(duration = as.numeric(`Duration (in seconds)`))

# Placebo Condition Prime Timing

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(plac_timing = as.numeric(emotions_survey_text$`timing_placebo_Page Submit`))

# Age Condition Prime Timing

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(age_timing = as.numeric(emotions_survey_text$`timing_age_Page Submit`))

# Vegi Condition Prime Timing

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(vegi_timing = as.numeric(emotions_survey_text$`vegi_timing_Page Submit`))

# Percents As Numeric

emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(percent1 = as.numeric(emotions_survey_text$percent1_1)) %&gt;%
  mutate(percent2 = as.numeric(emotions_survey_text$percent2_1)) %&gt;%
  mutate(percent3 = as.numeric(emotions_survey_text$percent3_1)) %&gt;%
  mutate(percent4 = as.numeric(emotions_survey_text$percent4_1)) %&gt;%
  mutate(percent5 = as.numeric(emotions_survey_text$percent5_1)) %&gt;%
  mutate(percent6 = as.numeric(emotions_survey_text$percent6_1))


# Positive Secondary Emotions Score
emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(e2_2 = ifelse(e2 == &quot;Anger&quot;, 0, ifelse(e2 == &quot;Sadness&quot;, 0, ifelse(e2 == &quot;Optimism&quot;, 1, ifelse(e2 == &quot;Nostalgia&quot;, 1, ifelse(e2 == &quot;Hope&quot;, 1, ifelse(e2 == &quot;Admiration&quot;, 1, ifelse(e2 == &quot;Love&quot;, 1, ifelse(e2 == &quot;Humiliation&quot;, 0, ifelse(e2 == &quot;Guilt&quot;, 0, ifelse(e2 == &quot;Resentment&quot;, 0, ifelse(e2 == &quot;Disgust&quot;, 0, ifelse(e2 == &quot;Disenchantment&quot;, 0, ifelse(e2 == &quot;Irritation&quot;, 0, ifelse(e2 == &quot;Fear&quot;, 0, ifelse(e2 == &quot;Pain&quot;, 0, ifelse(e2 == &quot;Surprise&quot;, 0, ifelse(e2 == &quot;Calmness&quot;, 0, ifelse(e2 == &quot;Affection&quot;, 0, ifelse(e2 == &quot;Caring&quot;, 0, ifelse(e2 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;% 
  
  mutate(e1_2 = ifelse(e1 == &quot;Anger&quot;, 0, ifelse(e1 == &quot;Sadness&quot;, 0, ifelse(e1 == &quot;Optimism&quot;, 1, ifelse(e1 == &quot;Nostalgia&quot;, 1, ifelse(e1 == &quot;Hope&quot;, 1, ifelse(e1 == &quot;Admiration&quot;, 1, ifelse(e1 == &quot;Love&quot;, 1, ifelse(e1 == &quot;Humiliation&quot;, 0, ifelse(e1 == &quot;Guilt&quot;, 0, ifelse(e1 == &quot;Resentment&quot;, 0, ifelse(e1 == &quot;Disgust&quot;, 0, ifelse(e1 == &quot;Disenchantment&quot;, 0, ifelse(e1 == &quot;Irritation&quot;, 0, ifelse(e1 == &quot;Fear&quot;, 0, ifelse(e1 == &quot;Pain&quot;, 0, ifelse(e1 == &quot;Surprise&quot;, 0, ifelse(e1 == &quot;Calmness&quot;, 0, ifelse(e1 == &quot;Affection&quot;, 0, ifelse(e1 == &quot;Caring&quot;, 0, ifelse(e1 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e4_2 = ifelse(e4 == &quot;Anger&quot;, 0, ifelse(e4 == &quot;Sadness&quot;, 0, ifelse(e4 == &quot;Optimism&quot;, 1, ifelse(e4 == &quot;Nostalgia&quot;, 1, ifelse(e4 == &quot;Hope&quot;, 1, ifelse(e4 == &quot;Admiration&quot;, 1, ifelse(e4 == &quot;Love&quot;, 1, ifelse(e4 == &quot;Humiliation&quot;, 0, ifelse(e4 == &quot;Guilt&quot;, 0, ifelse(e4 == &quot;Resentment&quot;, 0, ifelse(e4 == &quot;Disgust&quot;, 0, ifelse(e4 == &quot;Disenchantment&quot;, 0, ifelse(e4 == &quot;Irritation&quot;, 0, ifelse(e4 == &quot;Fear&quot;, 0, ifelse(e4 == &quot;Pain&quot;, 0, ifelse(e4 == &quot;Surprise&quot;, 0, ifelse(e4 == &quot;Calmness&quot;, 0, ifelse(e4 == &quot;Affection&quot;, 0, ifelse(e4 == &quot;Caring&quot;, 0, ifelse(e4 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e3_2 = ifelse(e3 == &quot;Anger&quot;, 0, ifelse(e3 == &quot;Sadness&quot;, 0, ifelse(e3 == &quot;Optimism&quot;, 1, ifelse(e3 == &quot;Nostalgia&quot;, 1, ifelse(e3 == &quot;Hope&quot;, 1, ifelse(e3 == &quot;Admiration&quot;, 1, ifelse(e3 == &quot;Love&quot;, 1, ifelse(e3 == &quot;Humiliation&quot;, 0, ifelse(e3 == &quot;Guilt&quot;, 0, ifelse(e3 == &quot;Resentment&quot;, 0, ifelse(e3 == &quot;Disgust&quot;, 0, ifelse(e3 == &quot;Disenchantment&quot;, 0, ifelse(e3 == &quot;Irritation&quot;, 0, ifelse(e3 == &quot;Fear&quot;, 0, ifelse(e3 == &quot;Pain&quot;, 0, ifelse(e3 == &quot;Surprise&quot;, 0, ifelse(e3 == &quot;Calmness&quot;, 0, ifelse(e3 == &quot;Affection&quot;, 0, ifelse(e3 == &quot;Caring&quot;, 0, ifelse(e3 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e5_2 = ifelse(e5 == &quot;Anger&quot;, 0, ifelse(e5 == &quot;Sadness&quot;, 0, ifelse(e5 == &quot;Optimism&quot;, 1, ifelse(e5 == &quot;Nostalgia&quot;, 1, ifelse(e5 == &quot;Hope&quot;, 1, ifelse(e5 == &quot;Admiration&quot;, 1, ifelse(e5 == &quot;Love&quot;, 1, ifelse(e5 == &quot;Humiliation&quot;, 0, ifelse(e5 == &quot;Guilt&quot;, 0, ifelse(e5 == &quot;Resentment&quot;, 0, ifelse(e5 == &quot;Disgust&quot;, 0, ifelse(e5 == &quot;Disenchantment&quot;, 0, ifelse(e5 == &quot;Irritation&quot;, 0, ifelse(e5 == &quot;Fear&quot;, 0, ifelse(e5 == &quot;Pain&quot;, 0, ifelse(e5 == &quot;Surprise&quot;, 0, ifelse(e5 == &quot;Calmness&quot;, 0, ifelse(e5 == &quot;Affection&quot;, 0, ifelse(e5 == &quot;Caring&quot;, 0, ifelse(e5 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e6_2 = ifelse(e6 == &quot;Anger&quot;, 0, ifelse(e6 == &quot;Sadness&quot;, 0, ifelse(e6 == &quot;Optimism&quot;, 1, ifelse(e6 == &quot;Nostalgia&quot;, 1, ifelse(e6 == &quot;Hope&quot;, 1, ifelse(e6 == &quot;Admiration&quot;, 1, ifelse(e6 == &quot;Love&quot;, 1, ifelse(e6 == &quot;Humiliation&quot;, 0, ifelse(e6 == &quot;Guilt&quot;, 0, ifelse(e6 == &quot;Resentment&quot;, 0, ifelse(e6 == &quot;Disgust&quot;, 0, ifelse(e6 == &quot;Disenchantment&quot;, 0, ifelse(e6 == &quot;Irritation&quot;, 0, ifelse(e6 == &quot;Fear&quot;, 0, ifelse(e6 == &quot;Pain&quot;, 0, ifelse(e6 == &quot;Surprise&quot;, 0, ifelse(e6 == &quot;Calmness&quot;, 0, ifelse(e6 == &quot;Affection&quot;, 0, ifelse(e6 == &quot;Caring&quot;, 0, ifelse(e6 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e7_2 = ifelse(e7 == &quot;Anger&quot;, 0, ifelse(e7 == &quot;Sadness&quot;, 0, ifelse(e7 == &quot;Optimism&quot;, 1, ifelse(e7 == &quot;Nostalgia&quot;, 1, ifelse(e7 == &quot;Hope&quot;, 1, ifelse(e7 == &quot;Admiration&quot;, 1, ifelse(e7 == &quot;Love&quot;, 1, ifelse(e7 == &quot;Humiliation&quot;, 0, ifelse(e7 == &quot;Guilt&quot;, 0, ifelse(e7 == &quot;Resentment&quot;, 0, ifelse(e7 == &quot;Disgust&quot;, 0, ifelse(e7 == &quot;Disenchantment&quot;, 0, ifelse(e7 == &quot;Irritation&quot;, 0, ifelse(e7 == &quot;Fear&quot;, 0, ifelse(e7 == &quot;Pain&quot;, 0, ifelse(e7 == &quot;Surprise&quot;, 0, ifelse(e7 == &quot;Calmness&quot;, 0, ifelse(e7 == &quot;Affection&quot;, 0, ifelse(e7 == &quot;Caring&quot;, 0, ifelse(e7 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e8_2 = ifelse(e8 == &quot;Anger&quot;, 0, ifelse(e8 == &quot;Sadness&quot;, 0, ifelse(e8 == &quot;Optimism&quot;, 1, ifelse(e8 == &quot;Nostalgia&quot;, 1, ifelse(e8 == &quot;Hope&quot;, 1, ifelse(e8 == &quot;Admiration&quot;, 1, ifelse(e8 == &quot;Love&quot;, 1, ifelse(e8 == &quot;Humiliation&quot;, 0, ifelse(e8 == &quot;Guilt&quot;, 0, ifelse(e8 == &quot;Resentment&quot;, 0, ifelse(e8 == &quot;Disgust&quot;, 0, ifelse(e8 == &quot;Disenchantment&quot;, 0, ifelse(e8 == &quot;Irritation&quot;, 0, ifelse(e8 == &quot;Fear&quot;, 0, ifelse(e8 == &quot;Pain&quot;, 0, ifelse(e8 == &quot;Surprise&quot;, 0, ifelse(e8 == &quot;Calmness&quot;, 0, ifelse(e8 == &quot;Affection&quot;, 0, ifelse(e8 == &quot;Caring&quot;, 0, ifelse(e8 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e9_2 = ifelse(e9 == &quot;Anger&quot;, 0, ifelse(e9 == &quot;Sadness&quot;, 0, ifelse(e9 == &quot;Optimism&quot;, 1, ifelse(e9 == &quot;Nostalgia&quot;, 1, ifelse(e9 == &quot;Hope&quot;, 1, ifelse(e9 == &quot;Admiration&quot;, 1, ifelse(e9 == &quot;Love&quot;, 1, ifelse(e9 == &quot;Humiliation&quot;, 0, ifelse(e9 == &quot;Guilt&quot;, 0, ifelse(e9 == &quot;Resentment&quot;, 0, ifelse(e9 == &quot;Disgust&quot;, 0, ifelse(e9 == &quot;Disenchantment&quot;, 0, ifelse(e9 == &quot;Irritation&quot;, 0, ifelse(e9 == &quot;Fear&quot;, 0, ifelse(e9 == &quot;Pain&quot;, 0, ifelse(e9 == &quot;Surprise&quot;, 0, ifelse(e9 == &quot;Calmness&quot;, 0, ifelse(e9 == &quot;Affection&quot;, 0, ifelse(e9 == &quot;Caring&quot;, 0, ifelse(e9 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e10_2 = ifelse(e10 == &quot;Anger&quot;, 0, ifelse(e10 == &quot;Sadness&quot;, 0, ifelse(e10 == &quot;Optimism&quot;, 1, ifelse(e10 == &quot;Nostalgia&quot;, 1, ifelse(e10 == &quot;Hope&quot;, 1, ifelse(e10 == &quot;Admiration&quot;, 1, ifelse(e10 == &quot;Love&quot;, 1, ifelse(e10 == &quot;Humiliation&quot;, 0, ifelse(e10 == &quot;Guilt&quot;, 0, ifelse(e10 == &quot;Resentment&quot;, 0, ifelse(e10 == &quot;Disgust&quot;, 0, ifelse(e10 == &quot;Disenchantment&quot;, 0, ifelse(e10 == &quot;Irritation&quot;, 0, ifelse(e10 == &quot;Fear&quot;, 0, ifelse(e10 == &quot;Pain&quot;, 0, ifelse(e10 == &quot;Surprise&quot;, 0, ifelse(e10 == &quot;Calmness&quot;, 0, ifelse(e10 == &quot;Affection&quot;, 0, ifelse(e10 == &quot;Caring&quot;, 0, ifelse(e10 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) 
  
emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(positive_EmotionScore = rowSums(emotions_survey_text[,142:151]))


# Negative Secondary Emotions Score
emotions_survey_text &lt;- emotions_survey_text %&gt;%
  
  mutate(e2_3 = ifelse(e2 == &quot;Anger&quot;, 0, ifelse(e2 == &quot;Sadness&quot;, 0, ifelse(e2 == &quot;Optimism&quot;, 0, ifelse(e2 == &quot;Nostalgia&quot;, 0, ifelse(e2 == &quot;Hope&quot;, 0, ifelse(e2 == &quot;Admiration&quot;, 0, ifelse(e2 == &quot;Love&quot;, 0, ifelse(e2 == &quot;Humiliation&quot;, 1, ifelse(e2 == &quot;Guilt&quot;, 1, ifelse(e2 == &quot;Resentment&quot;, 1, ifelse(e2 == &quot;Disgust&quot;, 1, ifelse(e2 == &quot;Disenchantment&quot;, 1, ifelse(e2 == &quot;Irritation&quot;, 0, ifelse(e2 == &quot;Fear&quot;, 0, ifelse(e2 == &quot;Pain&quot;, 0, ifelse(e2 == &quot;Surprise&quot;, 0, ifelse(e2 == &quot;Calmness&quot;, 0, ifelse(e2 == &quot;Affection&quot;, 0, ifelse(e2 == &quot;Caring&quot;, 0, ifelse(e2 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;% 
  
  mutate(e1_3 = ifelse(e1 == &quot;Anger&quot;, 0, ifelse(e1 == &quot;Sadness&quot;, 0, ifelse(e1 == &quot;Optimism&quot;, 0, ifelse(e1 == &quot;Nostalgia&quot;, 0, ifelse(e1 == &quot;Hope&quot;, 0, ifelse(e1 == &quot;Admiration&quot;, 0, ifelse(e1 == &quot;Love&quot;, 0, ifelse(e1 == &quot;Humiliation&quot;, 1, ifelse(e1 == &quot;Guilt&quot;, 1, ifelse(e1 == &quot;Resentment&quot;, 1, ifelse(e1 == &quot;Disgust&quot;, 1, ifelse(e1 == &quot;Disenchantment&quot;, 1, ifelse(e1 == &quot;Irritation&quot;, 0, ifelse(e1 == &quot;Fear&quot;, 0, ifelse(e1 == &quot;Pain&quot;, 0, ifelse(e1 == &quot;Surprise&quot;, 0, ifelse(e1 == &quot;Calmness&quot;, 0, ifelse(e1 == &quot;Affection&quot;, 0, ifelse(e1 == &quot;Caring&quot;, 0, ifelse(e1 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e4_3 = ifelse(e4 == &quot;Anger&quot;, 0, ifelse(e4 == &quot;Sadness&quot;, 0, ifelse(e4 == &quot;Optimism&quot;, 0, ifelse(e4 == &quot;Nostalgia&quot;, 0, ifelse(e4 == &quot;Hope&quot;, 0, ifelse(e4 == &quot;Admiration&quot;, 0, ifelse(e4 == &quot;Love&quot;, 0, ifelse(e4 == &quot;Humiliation&quot;, 1, ifelse(e4 == &quot;Guilt&quot;, 1, ifelse(e4 == &quot;Resentment&quot;, 1, ifelse(e4 == &quot;Disgust&quot;, 1, ifelse(e4 == &quot;Disenchantment&quot;, 1, ifelse(e4 == &quot;Irritation&quot;, 0, ifelse(e4 == &quot;Fear&quot;, 0, ifelse(e4 == &quot;Pain&quot;, 0, ifelse(e4 == &quot;Surprise&quot;, 0, ifelse(e4 == &quot;Calmness&quot;, 0, ifelse(e4 == &quot;Affection&quot;, 0, ifelse(e4 == &quot;Caring&quot;, 0, ifelse(e4 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e3_3 = ifelse(e3 == &quot;Anger&quot;, 0, ifelse(e3 == &quot;Sadness&quot;, 0, ifelse(e3 == &quot;Optimism&quot;, 0, ifelse(e3 == &quot;Nostalgia&quot;, 0, ifelse(e3 == &quot;Hope&quot;, 0, ifelse(e3 == &quot;Admiration&quot;, 0, ifelse(e3 == &quot;Love&quot;, 0, ifelse(e3 == &quot;Humiliation&quot;, 1, ifelse(e3 == &quot;Guilt&quot;, 1, ifelse(e3 == &quot;Resentment&quot;, 1, ifelse(e3 == &quot;Disgust&quot;, 1, ifelse(e3 == &quot;Disenchantment&quot;, 1, ifelse(e3 == &quot;Irritation&quot;, 0, ifelse(e3 == &quot;Fear&quot;, 0, ifelse(e3 == &quot;Pain&quot;, 0, ifelse(e3 == &quot;Surprise&quot;, 0, ifelse(e3 == &quot;Calmness&quot;, 0, ifelse(e3 == &quot;Affection&quot;, 0, ifelse(e3 == &quot;Caring&quot;, 0, ifelse(e3 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e5_3 = ifelse(e5 == &quot;Anger&quot;, 0, ifelse(e5 == &quot;Sadness&quot;, 0, ifelse(e5 == &quot;Optimism&quot;, 0, ifelse(e5 == &quot;Nostalgia&quot;, 0, ifelse(e5 == &quot;Hope&quot;, 0, ifelse(e5 == &quot;Admiration&quot;, 0, ifelse(e5 == &quot;Love&quot;, 0, ifelse(e5 == &quot;Humiliation&quot;, 1, ifelse(e5 == &quot;Guilt&quot;, 1, ifelse(e5 == &quot;Resentment&quot;, 1, ifelse(e5 == &quot;Disgust&quot;, 1, ifelse(e5 == &quot;Disenchantment&quot;, 1, ifelse(e5 == &quot;Irritation&quot;, 0, ifelse(e5 == &quot;Fear&quot;, 0, ifelse(e5 == &quot;Pain&quot;, 0, ifelse(e5 == &quot;Surprise&quot;, 0, ifelse(e5 == &quot;Calmness&quot;, 0, ifelse(e5 == &quot;Affection&quot;, 0, ifelse(e5 == &quot;Caring&quot;, 0, ifelse(e5 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e6_3 = ifelse(e6 == &quot;Anger&quot;, 0, ifelse(e6 == &quot;Sadness&quot;, 0, ifelse(e6 == &quot;Optimism&quot;, 0, ifelse(e6 == &quot;Nostalgia&quot;, 0, ifelse(e6 == &quot;Hope&quot;, 0, ifelse(e6 == &quot;Admiration&quot;, 0, ifelse(e6 == &quot;Love&quot;, 0, ifelse(e6 == &quot;Humiliation&quot;, 1, ifelse(e6 == &quot;Guilt&quot;, 1, ifelse(e6 == &quot;Resentment&quot;, 1, ifelse(e6 == &quot;Disgust&quot;, 1, ifelse(e6 == &quot;Disenchantment&quot;, 1, ifelse(e6 == &quot;Irritation&quot;, 0, ifelse(e6 == &quot;Fear&quot;, 0, ifelse(e6 == &quot;Pain&quot;, 0, ifelse(e6 == &quot;Surprise&quot;, 0, ifelse(e6 == &quot;Calmness&quot;, 0, ifelse(e6 == &quot;Affection&quot;, 0, ifelse(e6 == &quot;Caring&quot;, 0, ifelse(e6 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e7_3 = ifelse(e7 == &quot;Anger&quot;, 0, ifelse(e7 == &quot;Sadness&quot;, 0, ifelse(e7 == &quot;Optimism&quot;, 0, ifelse(e7 == &quot;Nostalgia&quot;, 0, ifelse(e7 == &quot;Hope&quot;, 0, ifelse(e7 == &quot;Admiration&quot;, 0, ifelse(e7 == &quot;Love&quot;, 0, ifelse(e7 == &quot;Humiliation&quot;, 1, ifelse(e7 == &quot;Guilt&quot;, 1, ifelse(e7 == &quot;Resentment&quot;, 1, ifelse(e7 == &quot;Disgust&quot;, 1, ifelse(e7 == &quot;Disenchantment&quot;, 1, ifelse(e7 == &quot;Irritation&quot;, 0, ifelse(e7 == &quot;Fear&quot;, 0, ifelse(e7 == &quot;Pain&quot;, 0, ifelse(e7 == &quot;Surprise&quot;, 0, ifelse(e7 == &quot;Calmness&quot;, 0, ifelse(e7 == &quot;Affection&quot;, 0, ifelse(e7 == &quot;Caring&quot;, 0, ifelse(e7 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e8_3 = ifelse(e8 == &quot;Anger&quot;, 0, ifelse(e8 == &quot;Sadness&quot;, 0, ifelse(e8 == &quot;Optimism&quot;, 0, ifelse(e8 == &quot;Nostalgia&quot;, 0, ifelse(e8 == &quot;Hope&quot;, 0, ifelse(e8 == &quot;Admiration&quot;, 0, ifelse(e8 == &quot;Love&quot;, 0, ifelse(e8 == &quot;Humiliation&quot;, 1, ifelse(e8 == &quot;Guilt&quot;, 1, ifelse(e8 == &quot;Resentment&quot;, 1, ifelse(e8 == &quot;Disgust&quot;, 1, ifelse(e8 == &quot;Disenchantment&quot;, 1, ifelse(e8 == &quot;Irritation&quot;, 0, ifelse(e8 == &quot;Fear&quot;, 0, ifelse(e8 == &quot;Pain&quot;, 0, ifelse(e8 == &quot;Surprise&quot;, 0, ifelse(e8 == &quot;Calmness&quot;, 0, ifelse(e8 == &quot;Affection&quot;, 0, ifelse(e8 == &quot;Caring&quot;, 0, ifelse(e8 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e9_3 = ifelse(e9 == &quot;Anger&quot;, 0, ifelse(e9 == &quot;Sadness&quot;, 0, ifelse(e9 == &quot;Optimism&quot;, 0, ifelse(e9 == &quot;Nostalgia&quot;, 0, ifelse(e9 == &quot;Hope&quot;, 0, ifelse(e9 == &quot;Admiration&quot;, 0, ifelse(e9 == &quot;Love&quot;, 0, ifelse(e9 == &quot;Humiliation&quot;, 1, ifelse(e9 == &quot;Guilt&quot;, 1, ifelse(e9 == &quot;Resentment&quot;, 1, ifelse(e9 == &quot;Disgust&quot;, 1, ifelse(e9 == &quot;Disenchantment&quot;, 1, ifelse(e9 == &quot;Irritation&quot;, 0, ifelse(e9 == &quot;Fear&quot;, 0, ifelse(e9 == &quot;Pain&quot;, 0, ifelse(e9 == &quot;Surprise&quot;, 0, ifelse(e9 == &quot;Calmness&quot;, 0, ifelse(e9 == &quot;Affection&quot;, 0, ifelse(e9 == &quot;Caring&quot;, 0, ifelse(e9 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) %&gt;%
  
  mutate(e10_3 = ifelse(e10 == &quot;Anger&quot;, 0, ifelse(e10 == &quot;Sadness&quot;, 0, ifelse(e10 == &quot;Optimism&quot;, 0, ifelse(e10 == &quot;Nostalgia&quot;, 0, ifelse(e10 == &quot;Hope&quot;, 0, ifelse(e10 == &quot;Admiration&quot;, 0, ifelse(e10 == &quot;Love&quot;, 0, ifelse(e10 == &quot;Humiliation&quot;, 1, ifelse(e10 == &quot;Guilt&quot;, 1, ifelse(e10 == &quot;Resentment&quot;, 1, ifelse(e10 == &quot;Disgust&quot;, 1, ifelse(e10 == &quot;Disenchantment&quot;, 1, ifelse(e10 == &quot;Irritation&quot;, 0, ifelse(e10 == &quot;Fear&quot;, 0, ifelse(e10 == &quot;Pain&quot;, 0, ifelse(e10 == &quot;Surprise&quot;, 0, ifelse(e10 == &quot;Calmness&quot;, 0, ifelse(e10 == &quot;Affection&quot;, 0, ifelse(e10 == &quot;Caring&quot;, 0, ifelse(e10 == &quot;Desire&quot;, 0, NA))))))))))))))))))))) 
  
emotions_survey_text &lt;- emotions_survey_text %&gt;%
  mutate(negative_EmotionScore = rowSums(emotions_survey_text[,153:162]))</code></pre>
</div>
<div id="pairwise-subgroups" class="section level2">
<h2>Pairwise Subgroups</h2>
<pre class="r"><code># Make the 3 pairwise subgroups
plac_age_cond &lt;- emotions_survey_text %&gt;%
  filter(Condition &lt; 2) # Placebo-Age Group 

age_vegi_cond &lt;- emotions_survey_text %&gt;%
  filter(Condition &gt; 0) %&gt;%
  mutate(Condition = ifelse(Condition == 1, 0, 1)) # Age-Vegi Group

plac_vegi_cond &lt;- emotions_survey_text %&gt;%
  filter(Condition == 0 | Condition == 2) %&gt;%
  mutate(Condition = ifelse(Condition == 2, 1, 0)) # Placebo-Vegi Group</code></pre>
</div>
<div id="covariate-balance-checks" class="section level2">
<h2>Covariate Balance Checks</h2>
<pre class="r"><code># Pretreatment summary stats table with GTSummary

emotions_survey_balance &lt;- emotions_survey_text %&gt;% select(age, nationality, nat_id, gender, religion, relig_type, race, politics, combat1, combat2, confl_zone, Condition, IHLScore, followup2_1)


emotions_survey_balance %&gt;% 
  tbl_summary(
    by = Condition, 
    type = c(age, IHLScore) ~ &quot;continuous&quot;, 
    label = list(age ~ &quot;Age&quot;, nationality ~ &quot;Nationality&quot;, nat_id ~ &quot;NatID&quot;, gender ~ &quot;Gender&quot;, religion ~ &quot;Religion&quot;, relig_type ~ &quot;Religion Type&quot;, race ~ &quot;Race&quot;, politics ~ &quot;PolID&quot;, combat1 ~ &quot;Combatant&quot;, combat2 ~ &quot;CombExp&quot;, confl_zone ~ &quot;ConflZone&quot;, followup2_1 ~ &quot;Non-naivete&quot;),
    statistic = list(all_continuous() ~ &quot;{mean} ({sd})&quot;, all_categorical() ~ &quot;{n} / {N} ({p}%)&quot;), digits = all_continuous() ~ 2) %&gt;% 
  add_overall() %&gt;%
  add_n() %&gt;%
  modify_header(label ~ &quot;**Table OA.1: Descriptive Statistics**&quot;) %&gt;%
  modify_spanning_header(c(&quot;stat_1&quot;, &quot;stat_2&quot;, &quot;stat_3&quot;) ~ &quot;**Treatment Received**&quot;) %&gt;%
  modify_footnote( 
    all_stat_cols() ~ &quot;Mean (SD) or Frequency (%)&quot;
    ) %&gt;%
  bold_labels</code></pre>
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<div id="xcdzebohtp" style="overflow-x:auto;overflow-y:auto;width:auto;height:auto;"><table class="gt_table">
  
  <thead class="gt_col_headings">
    <tr>
      <th class="gt_col_heading gt_center gt_columns_bottom_border" rowspan="2" colspan="1"><strong>Table OA.1: Descriptive Statistics</strong></th>
      <th class="gt_col_heading gt_center gt_columns_bottom_border" rowspan="2" colspan="1"><strong>N</strong></th>
      <th class="gt_col_heading gt_center gt_columns_bottom_border" rowspan="2" colspan="1"><strong>Overall</strong>, N = 1,073<sup class="gt_footnote_marks">1</sup></th>
      <th class="gt_center gt_columns_top_border gt_column_spanner_outer" rowspan="1" colspan="3">
        <span class="gt_column_spanner"><strong>Treatment Received</strong></span>
      </th>
    </tr>
    <tr>
      <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1"><strong>0</strong>, N = 363<sup class="gt_footnote_marks">1</sup></th>
      <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1"><strong>1</strong>, N = 353<sup class="gt_footnote_marks">1</sup></th>
      <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1"><strong>2</strong>, N = 357<sup class="gt_footnote_marks">1</sup></th>
    </tr>
  </thead>
  <tbody class="gt_table_body">
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Age</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">38.85 (12.55)</td>
      <td class="gt_row gt_center">38.11 (12.34)</td>
      <td class="gt_row gt_center">39.52 (13.05)</td>
      <td class="gt_row gt_center">38.95 (12.25)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Nationality</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Armenia</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">2 / 1,073 (0.2%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">1 / 353 (0.3%)</td>
      <td class="gt_row gt_center">1 / 357 (0.3%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Cambodia</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">1 / 353 (0.3%)</td>
      <td class="gt_row gt_center">0 / 357 (0%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Canada</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">1 / 363 (0.3%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">0 / 357 (0%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">China</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">1 / 357 (0.3%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Colombia</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">1 / 363 (0.3%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">0 / 357 (0%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">France</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">1 / 353 (0.3%)</td>
      <td class="gt_row gt_center">0 / 357 (0%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Georgia</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">3 / 1,073 (0.3%)</td>
      <td class="gt_row gt_center">2 / 363 (0.6%)</td>
      <td class="gt_row gt_center">1 / 353 (0.3%)</td>
      <td class="gt_row gt_center">0 / 357 (0%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Hong Kong (S.A.R.)</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">1 / 363 (0.3%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">0 / 357 (0%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">India</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">4 / 1,073 (0.4%)</td>
      <td class="gt_row gt_center">2 / 363 (0.6%)</td>
      <td class="gt_row gt_center">2 / 353 (0.6%)</td>
      <td class="gt_row gt_center">0 / 357 (0%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Iraq</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">1 / 357 (0.3%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Ireland</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">1 / 363 (0.3%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">0 / 357 (0%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Jamaica</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">2 / 1,073 (0.2%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">2 / 353 (0.6%)</td>
      <td class="gt_row gt_center">0 / 357 (0%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Malaysia</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">1 / 357 (0.3%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Nepal</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">1 / 357 (0.3%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Portugal</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">1 / 357 (0.3%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Russian Federation</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">1 / 363 (0.3%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">0 / 357 (0%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">South Korea</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1 / 1,073 (&lt;0.1%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">1 / 357 (0.3%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">United States of America</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">1,047 / 1,073 (98%)</td>
      <td class="gt_row gt_center">354 / 363 (98%)</td>
      <td class="gt_row gt_center">344 / 353 (97%)</td>
      <td class="gt_row gt_center">349 / 357 (98%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Uruguay</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">2 / 1,073 (0.2%)</td>
      <td class="gt_row gt_center">0 / 363 (0%)</td>
      <td class="gt_row gt_center">1 / 353 (0.3%)</td>
      <td class="gt_row gt_center">1 / 357 (0.3%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">NatID</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">A great deal</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">479 / 1,073 (45%)</td>
      <td class="gt_row gt_center">163 / 363 (45%)</td>
      <td class="gt_row gt_center">154 / 353 (44%)</td>
      <td class="gt_row gt_center">162 / 357 (45%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">A little</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">112 / 1,073 (10%)</td>
      <td class="gt_row gt_center">41 / 363 (11%)</td>
      <td class="gt_row gt_center">24 / 353 (6.8%)</td>
      <td class="gt_row gt_center">47 / 357 (13%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">A lot</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">266 / 1,073 (25%)</td>
      <td class="gt_row gt_center">87 / 363 (24%)</td>
      <td class="gt_row gt_center">100 / 353 (28%)</td>
      <td class="gt_row gt_center">79 / 357 (22%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">A moderate amount</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">192 / 1,073 (18%)</td>
      <td class="gt_row gt_center">63 / 363 (17%)</td>
      <td class="gt_row gt_center">68 / 353 (19%)</td>
      <td class="gt_row gt_center">61 / 357 (17%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Not at all</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">24 / 1,073 (2.2%)</td>
      <td class="gt_row gt_center">9 / 363 (2.5%)</td>
      <td class="gt_row gt_center">7 / 353 (2.0%)</td>
      <td class="gt_row gt_center">8 / 357 (2.2%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Gender</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Female</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">400 / 1,073 (37%)</td>
      <td class="gt_row gt_center">134 / 363 (37%)</td>
      <td class="gt_row gt_center">146 / 353 (41%)</td>
      <td class="gt_row gt_center">120 / 357 (34%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Male</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">668 / 1,073 (62%)</td>
      <td class="gt_row gt_center">227 / 363 (63%)</td>
      <td class="gt_row gt_center">207 / 353 (59%)</td>
      <td class="gt_row gt_center">234 / 357 (66%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Non-binary</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">5 / 1,073 (0.5%)</td>
      <td class="gt_row gt_center">2 / 363 (0.6%)</td>
      <td class="gt_row gt_center">0 / 353 (0%)</td>
      <td class="gt_row gt_center">3 / 357 (0.8%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Religion</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">596 / 1,073 (56%)</td>
      <td class="gt_row gt_center">201 / 363 (55%)</td>
      <td class="gt_row gt_center">204 / 353 (58%)</td>
      <td class="gt_row gt_center">191 / 357 (54%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Religion Type</td>
      <td class="gt_row gt_center">596</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Buddhism</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">14 / 596 (2.3%)</td>
      <td class="gt_row gt_center">5 / 201 (2.5%)</td>
      <td class="gt_row gt_center">6 / 204 (2.9%)</td>
      <td class="gt_row gt_center">3 / 191 (1.6%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Christianity</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">545 / 596 (91%)</td>
      <td class="gt_row gt_center">182 / 201 (91%)</td>
      <td class="gt_row gt_center">187 / 204 (92%)</td>
      <td class="gt_row gt_center">176 / 191 (92%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Hinduism</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">11 / 596 (1.8%)</td>
      <td class="gt_row gt_center">5 / 201 (2.5%)</td>
      <td class="gt_row gt_center">3 / 204 (1.5%)</td>
      <td class="gt_row gt_center">3 / 191 (1.6%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Islam</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">10 / 596 (1.7%)</td>
      <td class="gt_row gt_center">2 / 201 (1.0%)</td>
      <td class="gt_row gt_center">4 / 204 (2.0%)</td>
      <td class="gt_row gt_center">4 / 191 (2.1%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Judaism</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">6 / 596 (1.0%)</td>
      <td class="gt_row gt_center">3 / 201 (1.5%)</td>
      <td class="gt_row gt_center">2 / 204 (1.0%)</td>
      <td class="gt_row gt_center">1 / 191 (0.5%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Other</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">10 / 596 (1.7%)</td>
      <td class="gt_row gt_center">4 / 201 (2.0%)</td>
      <td class="gt_row gt_center">2 / 204 (1.0%)</td>
      <td class="gt_row gt_center">4 / 191 (2.1%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Unknown</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">477</td>
      <td class="gt_row gt_center">162</td>
      <td class="gt_row gt_center">149</td>
      <td class="gt_row gt_center">166</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Race</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">American Indian or Alaska Native</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">11 / 1,073 (1.0%)</td>
      <td class="gt_row gt_center">3 / 363 (0.8%)</td>
      <td class="gt_row gt_center">4 / 353 (1.1%)</td>
      <td class="gt_row gt_center">4 / 357 (1.1%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Asian</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">83 / 1,073 (7.7%)</td>
      <td class="gt_row gt_center">28 / 363 (7.7%)</td>
      <td class="gt_row gt_center">32 / 353 (9.1%)</td>
      <td class="gt_row gt_center">23 / 357 (6.4%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Black or African American</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">147 / 1,073 (14%)</td>
      <td class="gt_row gt_center">49 / 363 (13%)</td>
      <td class="gt_row gt_center">50 / 353 (14%)</td>
      <td class="gt_row gt_center">48 / 357 (13%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Hispanic or Latino</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">41 / 1,073 (3.8%)</td>
      <td class="gt_row gt_center">12 / 363 (3.3%)</td>
      <td class="gt_row gt_center">12 / 353 (3.4%)</td>
      <td class="gt_row gt_center">17 / 357 (4.8%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Mix/Other</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">17 / 1,073 (1.6%)</td>
      <td class="gt_row gt_center">5 / 363 (1.4%)</td>
      <td class="gt_row gt_center">8 / 353 (2.3%)</td>
      <td class="gt_row gt_center">4 / 357 (1.1%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">White</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">774 / 1,073 (72%)</td>
      <td class="gt_row gt_center">266 / 363 (73%)</td>
      <td class="gt_row gt_center">247 / 353 (70%)</td>
      <td class="gt_row gt_center">261 / 357 (73%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">PolID</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Conservative</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">229 / 1,073 (21%)</td>
      <td class="gt_row gt_center">76 / 363 (21%)</td>
      <td class="gt_row gt_center">77 / 353 (22%)</td>
      <td class="gt_row gt_center">76 / 357 (21%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Extremely Conservative</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">113 / 1,073 (11%)</td>
      <td class="gt_row gt_center">45 / 363 (12%)</td>
      <td class="gt_row gt_center">40 / 353 (11%)</td>
      <td class="gt_row gt_center">28 / 357 (7.8%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Extremely Liberal</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">157 / 1,073 (15%)</td>
      <td class="gt_row gt_center">53 / 363 (15%)</td>
      <td class="gt_row gt_center">48 / 353 (14%)</td>
      <td class="gt_row gt_center">56 / 357 (16%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Liberal</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">349 / 1,073 (33%)</td>
      <td class="gt_row gt_center">106 / 363 (29%)</td>
      <td class="gt_row gt_center">116 / 353 (33%)</td>
      <td class="gt_row gt_center">127 / 357 (36%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Moderate</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">225 / 1,073 (21%)</td>
      <td class="gt_row gt_center">83 / 363 (23%)</td>
      <td class="gt_row gt_center">72 / 353 (20%)</td>
      <td class="gt_row gt_center">70 / 357 (20%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Combatant</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">No</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">910 / 1,073 (85%)</td>
      <td class="gt_row gt_center">301 / 363 (83%)</td>
      <td class="gt_row gt_center">301 / 353 (85%)</td>
      <td class="gt_row gt_center">308 / 357 (86%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Yes, government soldier</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">126 / 1,073 (12%)</td>
      <td class="gt_row gt_center">44 / 363 (12%)</td>
      <td class="gt_row gt_center">43 / 353 (12%)</td>
      <td class="gt_row gt_center">39 / 357 (11%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Yes, other combatant</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">37 / 1,073 (3.4%)</td>
      <td class="gt_row gt_center">18 / 363 (5.0%)</td>
      <td class="gt_row gt_center">9 / 353 (2.5%)</td>
      <td class="gt_row gt_center">10 / 357 (2.8%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">CombExp</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">No</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">919 / 1,073 (86%)</td>
      <td class="gt_row gt_center">301 / 363 (83%)</td>
      <td class="gt_row gt_center">302 / 353 (86%)</td>
      <td class="gt_row gt_center">316 / 357 (89%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Yes, in combat</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">38 / 1,073 (3.5%)</td>
      <td class="gt_row gt_center">11 / 363 (3.0%)</td>
      <td class="gt_row gt_center">12 / 353 (3.4%)</td>
      <td class="gt_row gt_center">15 / 357 (4.2%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="text-align: left; text-indent: 10px;">Yes, near combat</td>
      <td class="gt_row gt_center"></td>
      <td class="gt_row gt_center">116 / 1,073 (11%)</td>
      <td class="gt_row gt_center">51 / 363 (14%)</td>
      <td class="gt_row gt_center">39 / 353 (11%)</td>
      <td class="gt_row gt_center">26 / 357 (7.3%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">ConflZone</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">152 / 1,073 (14%)</td>
      <td class="gt_row gt_center">62 / 363 (17%)</td>
      <td class="gt_row gt_center">50 / 353 (14%)</td>
      <td class="gt_row gt_center">40 / 357 (11%)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">IHLScore</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">0.58 (0.16)</td>
      <td class="gt_row gt_center">0.58 (0.17)</td>
      <td class="gt_row gt_center">0.58 (0.15)</td>
      <td class="gt_row gt_center">0.59 (0.14)</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Non-naivete</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">117 / 1,073 (11%)</td>
      <td class="gt_row gt_center">37 / 363 (10%)</td>
      <td class="gt_row gt_center">41 / 353 (12%)</td>
      <td class="gt_row gt_center">39 / 357 (11%)</td>
    </tr>
  </tbody>
  
  <tfoot>
    <tr class="gt_footnotes">
      <td colspan="6">
        <p class="gt_footnote">
          <sup class="gt_footnote_marks">
            <em>1</em>
          </sup>
           
          Mean (SD) or Frequency (%)
          <br />
        </p>
      </td>
    </tr>
  </tfoot>
</table></div>
<pre class="r"><code># Balance Test using Multinomial Logistic Regression 

balance_test_multinom &lt;- multinom(Condition ~ age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + followup2_1, data = emotions_survey_text) # including the pretreatment covariates and the non-naivete question</code></pre>
</div>
</div>
<div id="weights-42-26-variable" class="section level1">
<h1>weights: 42 (26 variable)</h1>
<p>initial value 1178.810986 iter 10 value 1170.002952 iter 20 value 1167.476668 iter 30 value 1167.235171 final value 1167.234423 converged</p>
<pre class="r"><code>summary(balance_test_multinom)</code></pre>
<p>Call: multinom(formula = Condition ~ age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + followup2_1, data = emotions_survey_text)</p>
<p>Coefficients: (Intercept) age Nationality NatID Gender Religion 1 -0.910468846 0.009071473 0.13276276 0.06641117 0.09884109 0.09532789 2 -0.008933395 0.006187193 0.08040287 0.03373533 -0.13616034 0.02548946 Race PolID Combatant CombExp ConflZone IHLScore 1 0.07685061 -0.03513052 -0.1134362 -0.1726185 -0.2043947 -0.08167345 2 -0.01901595 -0.11049925 0.2296851 -0.5845733 -0.3863761 0.18658707 followup2_1 1 0.3294449 2 0.4325506</p>
<p>Std. Errors: (Intercept) age Nationality NatID Gender Religion Race 1 0.7360370 0.006248674 0.4910934 0.07377245 0.1531210 0.1631255 0.06040007 2 0.7413451 0.006342105 0.5058535 0.07229216 0.1554256 0.1622177 0.06333024 PolID Combatant CombExp ConflZone IHLScore followup2_1 1 0.0644669 0.3399205 0.3584722 0.2738201 0.5032610 0.2821581 2 0.0650048 0.3392700 0.3691997 0.2837953 0.5016409 0.2863751</p>
<p>Residual Deviance: 2334.469 AIC: 2386.469</p>
<pre class="r"><code>stargazer(balance_test_multinom, align = T, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, dep.var.labels = c(&quot;Condition 1&quot;, &quot;Condition 2&quot;), title = &quot;Table OA.2: Balance Test Using Multinomial Logit&quot;, model.names = T, single.row = T) # shows balance with no significant relation between covariates and condition assignment</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.2: Balance Test Using Multinomial Logit</strong>
</caption>
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
Condition 1
</td>
<td>
Condition 2
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>multinomial log-linear</em>
</td>
<td>
<em>multinomial log-linear</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>(neural networks)</em>
</td>
<td>
<em>(neural networks)</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
</tr>
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
-0.91 (0.74)
</td>
<td>
-0.01 (0.74)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
0.01 (0.01)
</td>
<td>
0.01 (0.01)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
0.13 (0.49)
</td>
<td>
0.08 (0.51)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
0.07 (0.07)
</td>
<td>
0.03 (0.07)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
0.10 (0.15)
</td>
<td>
-0.14 (0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
0.10 (0.16)
</td>
<td>
0.03 (0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
0.08 (0.06)
</td>
<td>
-0.02 (0.06)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
-0.04 (0.06)
</td>
<td>
-0.11<sup>*</sup> (0.07)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
-0.11 (0.34)
</td>
<td>
0.23 (0.34)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
-0.17 (0.36)
</td>
<td>
-0.58 (0.37)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
-0.20 (0.27)
</td>
<td>
-0.39 (0.28)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
-0.08 (0.50)
</td>
<td>
0.19 (0.50)
</td>
</tr>
<tr>
<td style="text-align:left">
followup2_1
</td>
<td>
0.33 (0.28)
</td>
<td>
0.43 (0.29)
</td>
</tr>
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Akaike Inf. Crit.
</td>
<td>
2,386.47
</td>
<td>
2,386.47
</td>
</tr>
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="2" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>balance_test_ols &lt;- lm(Condition ~ age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + followup2_1, data = emotions_survey_text)
stargazer(balance_test_ols, align = T, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, dep.var.labels = &quot;Condition&quot;, title = &quot;Table OA.3: Balance Test Using OLS&quot;, model.names = T, single.row = T) # confirms multinomial finding with OLS showing no significant relation between covariates and condition assignment</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.3: Balance Test Using OLS</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
Condition
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>OLS</em>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
1.00<sup>***</sup> (0.25)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
0.002 (0.002)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
0.03 (0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
0.01 (0.02)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
-0.04 (0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
0.01 (0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
-0.01 (0.02)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
-0.04<sup>*</sup> (0.02)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
0.07 (0.11)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
-0.19 (0.12)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
-0.13 (0.09)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
0.06 (0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
followup2_1
</td>
<td>
0.14 (0.09)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
1,073
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.01
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.002
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.82 (df = 1060)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
1.17 (df = 12; 1060)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Generate p-value for multimonial model, using z-tests

z &lt;- summary(balance_test_multinom)$coefficients/summary(balance_test_multinom)$standard.errors
z</code></pre>
<p>(Intercept) age Nationality NatID Gender Religion Race 1 -1.23698792 1.4517437 0.2703411 0.9002164 0.6455099 0.5843839 1.2723596 2 -0.01205025 0.9755739 0.1589450 0.4666527 -0.8760482 0.1571312 -0.3002665 PolID Combatant CombExp ConflZone IHLScore followup2_1 1 -0.5449389 -0.3337139 -0.4815395 -0.7464562 -0.1622885 1.167590 2 -1.6998630 0.6769981 -1.5833527 -1.3614608 0.3719534 1.510433</p>
<pre class="r"><code>p &lt;- (1 - pnorm(abs(z), 0, 1))*2 # 2-tailed z test
p # p-values show insignificance for all covariates, demonstrating balance across Conditions</code></pre>
<p>(Intercept) age Nationality NatID Gender Religion Race 1 0.2160916 0.1465729 0.7868978 0.3680051 0.5185968 0.5589621 0.2032454 2 0.9903855 0.3292756 0.8737122 0.6407484 0.3810038 0.8751415 0.7639739 PolID Combatant CombExp ConflZone IHLScore followup2_1 1 0.5857955 0.7385955 0.6301331 0.4553919 0.8710787 0.2429724 2 0.0891567 0.4984072 0.1133411 0.1733681 0.7099275 0.1309329</p>
<div id="post-treatment-summary-statistics-table" class="section level2">
<h2>Post-Treatment Summary Statistics Table</h2>
<pre class="r"><code>emotions_survey_posttreatment &lt;- emotions_survey_text %&gt;% select(duration, plac_timing, age_timing, vegi_timing, EmotionScore, MoralScore, percent1, percent2, percent3, percent4, percent5, percent6, followup2, followup3_1, Condition) 

emotions_survey_posttreatment %&gt;% 
  tbl_summary(
    by = Condition, 
    missing = &quot;no&quot;, 
    label = list(duration ~ &quot;Survey Duration (Seconds)&quot;, plac_timing ~ &quot;Placebo Prime Duration (Seconds)&quot;, age_timing ~ &quot;Social Categorization Prime Duration (Seconds)&quot;, vegi_timing ~ &quot;Mentalization Prime Duration (Seconds)&quot;, followup2 ~ &quot;Non-naivete&quot;, followup3_1 ~ &quot;Compliers&quot;, percent1 ~ &quot;Domestic Charge&quot;, percent2 ~ &quot;International Charge&quot;, percent3 ~ &quot;Domestic Apprehension&quot;, percent4 ~ &quot;International Apprehension&quot;, percent5 ~ &quot;Domestic Conviction&quot;, percent6 ~ &quot;International Conviction&quot;),
    type = c(duration, plac_timing, age_timing, vegi_timing, EmotionScore, MoralScore, percent1, percent2, percent3, percent4, percent5, percent6) ~ &quot;continuous&quot;, 
    statistic = list(all_continuous() ~ &quot;{mean} ({sd})&quot;, all_categorical() ~ &quot;{n} / {N} ({p}%)&quot;), 
    digits = all_continuous() ~ 2) %&gt;% 
  add_p() %&gt;%
  add_overall() %&gt;%
  add_n() %&gt;%
  modify_header(label ~ &quot;**Table OA.4: Post-Treatment Summary Statistics Table**&quot;) %&gt;%
  modify_spanning_header(c(&quot;stat_1&quot;, &quot;stat_2&quot;, &quot;stat_3&quot;) ~ &quot;**Treatment Received**&quot;) %&gt;%
  modify_footnote( 
    all_stat_cols() ~ &quot;Mean (sd) or Frequency (%)&quot;
    ) %&gt;%
  bold_labels</code></pre>
<pre><code>## There was an error in &#39;add_p()/add_difference()&#39; for variable &#39;plac_timing&#39;, p-value omitted:
## Error in kruskal.test.default(data[[variable]], as.factor(data[[by]])): all observations are in the same group</code></pre>
<pre><code>## There was an error in &#39;add_p()/add_difference()&#39; for variable &#39;age_timing&#39;, p-value omitted:
## Error in kruskal.test.default(data[[variable]], as.factor(data[[by]])): all observations are in the same group</code></pre>
<pre><code>## There was an error in &#39;add_p()/add_difference()&#39; for variable &#39;vegi_timing&#39;, p-value omitted:
## Error in kruskal.test.default(data[[variable]], as.factor(data[[by]])): all observations are in the same group</code></pre>
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<div id="lcwisvdhjk" style="overflow-x:auto;overflow-y:auto;width:auto;height:auto;"><table class="gt_table">
  
  <thead class="gt_col_headings">
    <tr>
      <th class="gt_col_heading gt_center gt_columns_bottom_border" rowspan="2" colspan="1"><strong>Table OA.4: Post-Treatment Summary Statistics Table</strong></th>
      <th class="gt_col_heading gt_center gt_columns_bottom_border" rowspan="2" colspan="1"><strong>N</strong></th>
      <th class="gt_col_heading gt_center gt_columns_bottom_border" rowspan="2" colspan="1"><strong>Overall</strong>, N = 1,073<sup class="gt_footnote_marks">1</sup></th>
      <th class="gt_center gt_columns_top_border gt_column_spanner_outer" rowspan="1" colspan="3">
        <span class="gt_column_spanner"><strong>Treatment Received</strong></span>
      </th>
      <th class="gt_col_heading gt_center gt_columns_bottom_border" rowspan="2" colspan="1"><strong>p-value</strong><sup class="gt_footnote_marks">2</sup></th>
    </tr>
    <tr>
      <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1"><strong>0</strong>, N = 363<sup class="gt_footnote_marks">1</sup></th>
      <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1"><strong>1</strong>, N = 353<sup class="gt_footnote_marks">1</sup></th>
      <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1"><strong>2</strong>, N = 357<sup class="gt_footnote_marks">1</sup></th>
    </tr>
  </thead>
  <tbody class="gt_table_body">
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Survey Duration (Seconds)</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">439.81 (1,319.77)</td>
      <td class="gt_row gt_center">353.68 (218.16)</td>
      <td class="gt_row gt_center">459.56 (537.72)</td>
      <td class="gt_row gt_center">507.85 (2,213.16)</td>
      <td class="gt_row gt_center"><0.001</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Placebo Prime Duration (Seconds)</td>
      <td class="gt_row gt_center">363</td>
      <td class="gt_row gt_center">30.79 (36.11)</td>
      <td class="gt_row gt_center">30.79 (36.11)</td>
      <td class="gt_row gt_center">NA (NA)</td>
      <td class="gt_row gt_center">NA (NA)</td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Social Categorization Prime Duration (Seconds)</td>
      <td class="gt_row gt_center">353</td>
      <td class="gt_row gt_center">89.73 (244.94)</td>
      <td class="gt_row gt_center">NA (NA)</td>
      <td class="gt_row gt_center">89.73 (244.94)</td>
      <td class="gt_row gt_center">NA (NA)</td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Mentalization Prime Duration (Seconds)</td>
      <td class="gt_row gt_center">357</td>
      <td class="gt_row gt_center">70.43 (72.95)</td>
      <td class="gt_row gt_center">NA (NA)</td>
      <td class="gt_row gt_center">NA (NA)</td>
      <td class="gt_row gt_center">70.43 (72.95)</td>
      <td class="gt_row gt_center"></td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">EmotionScore</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">4.54 (0.95)</td>
      <td class="gt_row gt_center">4.64 (0.95)</td>
      <td class="gt_row gt_center">4.49 (0.93)</td>
      <td class="gt_row gt_center">4.48 (0.96)</td>
      <td class="gt_row gt_center">0.017</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">MoralScore</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">4.64 (1.48)</td>
      <td class="gt_row gt_center">4.61 (1.52)</td>
      <td class="gt_row gt_center">4.71 (1.45)</td>
      <td class="gt_row gt_center">4.61 (1.46)</td>
      <td class="gt_row gt_center">0.8</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Domestic Charge</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">53.35 (29.58)</td>
      <td class="gt_row gt_center">55.60 (29.32)</td>
      <td class="gt_row gt_center">53.65 (30.26)</td>
      <td class="gt_row gt_center">50.77 (29.03)</td>
      <td class="gt_row gt_center">0.063</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">International Charge</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">58.32 (27.73)</td>
      <td class="gt_row gt_center">58.82 (28.57)</td>
      <td class="gt_row gt_center">58.69 (28.09)</td>
      <td class="gt_row gt_center">57.46 (26.53)</td>
      <td class="gt_row gt_center">0.5</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Domestic Apprehension</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">54.70 (29.07)</td>
      <td class="gt_row gt_center">57.63 (28.46)</td>
      <td class="gt_row gt_center">53.92 (29.17)</td>
      <td class="gt_row gt_center">52.48 (29.42)</td>
      <td class="gt_row gt_center">0.057</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">International Apprehension</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">57.25 (28.19)</td>
      <td class="gt_row gt_center">58.70 (28.28)</td>
      <td class="gt_row gt_center">58.05 (28.25)</td>
      <td class="gt_row gt_center">54.98 (27.97)</td>
      <td class="gt_row gt_center">0.13</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Domestic Conviction</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">53.90 (28.53)</td>
      <td class="gt_row gt_center">55.91 (28.11)</td>
      <td class="gt_row gt_center">54.24 (28.85)</td>
      <td class="gt_row gt_center">51.54 (28.53)</td>
      <td class="gt_row gt_center">0.12</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">International Conviction</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">63.13 (25.95)</td>
      <td class="gt_row gt_center">63.58 (26.66)</td>
      <td class="gt_row gt_center">64.12 (25.66)</td>
      <td class="gt_row gt_center">61.69 (25.50)</td>
      <td class="gt_row gt_center">0.3</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Non-naivete</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">117 / 1,073 (11%)</td>
      <td class="gt_row gt_center">37 / 363 (10%)</td>
      <td class="gt_row gt_center">41 / 353 (12%)</td>
      <td class="gt_row gt_center">39 / 357 (11%)</td>
      <td class="gt_row gt_center">0.8</td>
    </tr>
    <tr>
      <td class="gt_row gt_left" style="font-weight: bold;">Compliers</td>
      <td class="gt_row gt_center">1,073</td>
      <td class="gt_row gt_center">906 / 1,073 (84%)</td>
      <td class="gt_row gt_center">315 / 363 (87%)</td>
      <td class="gt_row gt_center">296 / 353 (84%)</td>
      <td class="gt_row gt_center">295 / 357 (83%)</td>
      <td class="gt_row gt_center">0.3</td>
    </tr>
  </tbody>
  
  <tfoot>
    <tr class="gt_footnotes">
      <td colspan="7">
        <p class="gt_footnote">
          <sup class="gt_footnote_marks">
            <em>1</em>
          </sup>
           
          Mean (sd) or Frequency (%)
          <br />
        </p>
        <p class="gt_footnote">
          <sup class="gt_footnote_marks">
            <em>2</em>
          </sup>
           
          Kruskal-Wallis rank sum test; Pearson's Chi-squared test
          <br />
        </p>
      </td>
    </tr>
  </tfoot>
</table></div>
</div>
<div id="h1-h3-hypothesis-testing" class="section level2">
<h2>H1-H3 Hypothesis Testing</h2>
<div id="effect-of-prime-on-emotions-score" class="section level3">
<h3>Effect of Prime on Emotions Score</h3>
<pre class="r"><code># Effect of Prime on Emotions Score

emotions_m1 &lt;- lm(EmotionScore ~ Condition, data = plac_age_cond) # just Condition 
emotions_m2 &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

emotions_m3 &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = plac_age_cond) # Condition, covariates, and Combatant interaction

emotions_m4 &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = plac_age_cond) # Condition, covariates, and CombExp interaction

emotions_m5 &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = plac_age_cond) # Condition, covariates, and ConflZone interaction

emotions_m6 &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = plac_age_cond) # Condition, covariates, and IHLScore interaction

emotions_m7 &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = plac_age_cond) # Condition, covariates, and NatID interaction

emotions_m8 &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = plac_age_cond) # Condition, covariates, and PolID interaction

## Coefficient Table Stargazer

stargazer(emotions_m1, emotions_m2, emotions_m3, emotions_m4, emotions_m5, emotions_m6, emotions_m7, emotions_m8, align = T, dep.var.labels = &quot;Emotions Score&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table 4.1: Effect of Violence Prime on Secondary Emotion Attribution&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table 4.1: Effect of Violence Prime on Secondary Emotion Attribution</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Emotions Score
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.64<sup>***</sup> (0.05)
</td>
<td>
4.42<sup>***</sup> (0.34)
</td>
<td>
4.42<sup>***</sup> (0.34)
</td>
<td>
4.45<sup>***</sup> (0.34)
</td>
<td>
4.42<sup>***</sup> (0.34)
</td>
<td>
4.38<sup>***</sup> (0.36)
</td>
<td>
4.60<sup>***</sup> (0.36)
</td>
<td>
4.43<sup>***</sup> (0.35)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-0.15<sup>**</sup> (0.07)
</td>
<td>
-0.16<sup>**</sup> (0.07)
</td>
<td>
-0.22<sup>***</sup> (0.08)
</td>
<td>
-0.23<sup>***</sup> (0.08)
</td>
<td>
-0.18<sup>**</sup> (0.08)
</td>
<td>
-0.08 (0.27)
</td>
<td>
-0.65<sup>**</sup> (0.27)
</td>
<td>
-0.18 (0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
0.16 (0.23)
</td>
<td>
0.18 (0.23)
</td>
<td>
0.16 (0.23)
</td>
<td>
0.16 (0.23)
</td>
<td>
0.16 (0.23)
</td>
<td>
0.18 (0.23)
</td>
<td>
0.16 (0.23)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
0.03 (0.04)
</td>
<td>
0.03 (0.04)
</td>
<td>
0.03 (0.04)
</td>
<td>
0.03 (0.04)
</td>
<td>
0.03 (0.04)
</td>
<td>
-0.02 (0.05)
</td>
<td>
0.03 (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
0.03 (0.07)
</td>
<td>
0.03 (0.07)
</td>
<td>
0.03 (0.07)
</td>
<td>
0.03 (0.07)
</td>
<td>
0.03 (0.07)
</td>
<td>
0.04 (0.07)
</td>
<td>
0.03 (0.07)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
0.01 (0.08)
</td>
<td>
0.01 (0.08)
</td>
<td>
0.01 (0.08)
</td>
<td>
0.01 (0.08)
</td>
<td>
0.01 (0.08)
</td>
<td>
0.01 (0.08)
</td>
<td>
0.01 (0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
0.04 (0.03)
</td>
<td>
0.05<sup>*</sup> (0.03)
</td>
<td>
0.04 (0.03)
</td>
<td>
0.04 (0.03)
</td>
<td>
0.04 (0.03)
</td>
<td>
0.04 (0.03)
</td>
<td>
0.04 (0.03)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.003 (0.03)
</td>
<td>
-0.001 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.003 (0.03)
</td>
<td>
-0.01 (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
0.05 (0.16)
</td>
<td>
-0.15 (0.19)
</td>
<td>
0.07 (0.16)
</td>
<td>
0.05 (0.16)
</td>
<td>
0.05 (0.16)
</td>
<td>
0.06 (0.16)
</td>
<td>
0.05 (0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
0.03 (0.16)
</td>
<td>
0.05 (0.16)
</td>
<td>
-0.22 (0.19)
</td>
<td>
0.04 (0.16)
</td>
<td>
0.03 (0.16)
</td>
<td>
0.03 (0.16)
</td>
<td>
0.03 (0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
0.06 (0.13)
</td>
<td>
0.06 (0.13)
</td>
<td>
0.08 (0.13)
</td>
<td>
-0.002 (0.16)
</td>
<td>
0.06 (0.13)
</td>
<td>
0.06 (0.13)
</td>
<td>
0.06 (0.13)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
-0.28 (0.23)
</td>
<td>
-0.29 (0.23)
</td>
<td>
-0.31 (0.23)
</td>
<td>
-0.28 (0.23)
</td>
<td>
-0.22 (0.30)
</td>
<td>
-0.27 (0.23)
</td>
<td>
-0.28 (0.23)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
0.39<sup>**</sup> (0.19)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.47<sup>**</sup> (0.20)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.13 (0.20)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.14 (0.45)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.12<sup>*</sup> (0.07)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.01 (0.06)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.01
</td>
<td>
0.02
</td>
<td>
0.02
</td>
<td>
0.03
</td>
<td>
0.02
</td>
<td>
0.02
</td>
<td>
0.02
</td>
<td>
0.02
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.01
</td>
<td>
0.001
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.0004
</td>
<td>
-0.0000
</td>
<td>
0.005
</td>
<td>
-0.0001
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.94 (df = 714)
</td>
<td>
0.94 (df = 703)
</td>
<td>
0.94 (df = 702)
</td>
<td>
0.94 (df = 702)
</td>
<td>
0.94 (df = 702)
</td>
<td>
0.94 (df = 702)
</td>
<td>
0.94 (df = 702)
</td>
<td>
0.94 (df = 702)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
4.66<sup>**</sup> (df = 1; 714)
</td>
<td>
1.08 (df = 12; 703)
</td>
<td>
1.30 (df = 13; 702)
</td>
<td>
1.45 (df = 13; 702)
</td>
<td>
1.02 (df = 13; 702)
</td>
<td>
1.00 (df = 13; 702)
</td>
<td>
1.27 (df = 13; 702)
</td>
<td>
0.99 (df = 13; 702)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>mean(plac_age_cond$EmotionScore[plac_age_cond$Condition == 1]) - mean(plac_age_cond$EmotionScore[plac_age_cond$Condition == 0]) # double-check ATE with manual DiM</code></pre>
<p>[1] -0.1518663</p>
<pre class="r"><code>## Make Coefficient Plot

emotions_m2_names &lt;- c(&quot;Constant&quot;, &quot;Condition&quot;, &quot;Age&quot;, &quot;Nationality&quot;, &quot;NatID&quot;, &quot;Gender&quot;, &quot;Religion&quot;, &quot;Race&quot;, &quot;PolID&quot;, &quot;Combatant&quot;, &quot;CombExp&quot;, &quot;ConflZone&quot;, &quot;IHLScore&quot;)
coefplot(emotions_m2, varnames = emotions_m2_names, main = &quot;Figure OA.1: Effect of Violence Prime on Emotion Attribution (Model 2)&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code># Robustness Checks

## Emotions P-values under the sharp null hypothesis
set.seed(103648)
emotions_Z &lt;- plac_age_cond$Condition #treatment vector
emotions_Y &lt;- plac_age_cond$EmotionScore #outcome vector
emotions_probs &lt;- genprobexact(Z = emotions_Z)
emotions_ate &lt;- estate(Y = emotions_Y, Z = emotions_Z, prob = emotions_probs)
emotions_ate #-0.1518663</code></pre>
<p>[1] -0.1518663</p>
<pre class="r"><code>emotions_perms &lt;- genperms(emotions_Z, maxiter = 10000) #enumerate all possible ways of random assignment</code></pre>
<p>Too many permutations to use exact method. Defaulting to approximate method. Increase maxiter to at least 9.58345958376068e+213 to perform exact estimation.</p>
<pre class="r"><code>emotions_Ys &lt;- genouts(Y = emotions_Y, Z = emotions_Z, ate = 0) #generate full schedule of potential outcomes under exact H0, (ITT/ATE = 0)
emotions_distout &lt;- gendist(emotions_Ys, emotions_perms, prob=emotions_probs) # generate randomization distribution 
emotions_dist &lt;- dispdist(emotions_distout, emotions_ate)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>emotions_abs_p &lt;- mean(abs(emotions_distout) &gt;= abs(emotions_ate)) #two-tailed test
emotions_abs_p #0.0328 p-value under sharp null hypothesis</code></pre>
<p>[1] 0.0328</p>
<pre class="r"><code>## CACE for Placebo-age Group

### CACE Manually
plac_age_cond &lt;- plac_age_cond %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))
itt &lt;- lm(EmotionScore ~ Condition, data = plac_age_cond)
itt</code></pre>
<p>Call: lm(formula = EmotionScore ~ Condition, data = plac_age_cond)</p>
<p>Coefficients: (Intercept) Condition<br />
4.6391 -0.1519</p>
<pre class="r"><code>ittd &lt;- sum(plac_age_cond$followup_ittd)/sum(plac_age_cond$Condition)
ittd</code></pre>
<p>[1] 0.8385269</p>
<pre class="r"><code>cace &lt;- itt$coefficients[2]/ittd
cace # CACE</code></pre>
<p>Condition -0.1811109</p>
<pre class="r"><code>### CACE with 2SLS

cace_iv_emotions &lt;- ivreg(EmotionScore ~ followup_ittd, ~Condition, data = plac_age_cond)
stargazer(cace_iv_emotions, type = &#39;html&#39;, title = &quot;Table OA.5: CACE of Prime on EmotionScore&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.5: CACE of Prime on EmotionScore</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
EmotionScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
-0.181<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.084)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.639<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.049)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.009
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.007
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.940 (df = 714)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check of Duration - ATE and CACE when taking away answers that are really fast (&lt;=200s) or really slow (&gt;=1200s)

plac_age_cond_duration &lt;- plac_age_cond %&gt;%
  filter(duration &gt; 200) %&gt;%
  filter(duration &lt; 1200)
nrow(plac_age_cond_duration)</code></pre>
<p>[1] 577</p>
<pre class="r"><code>min(plac_age_cond_duration$duration)</code></pre>
<p>[1] 201</p>
<pre class="r"><code>max(plac_age_cond_duration$duration)</code></pre>
<p>[1] 1178</p>
<pre class="r"><code>emotions_m1_dur &lt;- lm(EmotionScore ~ Condition, data = plac_age_cond_duration) # just Condition 

emotions_m2_dur &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond_duration) # Condition and covariates

emotions_m3_dur &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = plac_age_cond_duration) # Condition, covariates, and Combatant interaction

emotions_m4_dur &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = plac_age_cond_duration) # Condition, covariates, and CombExp interaction

emotions_m5_dur &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = plac_age_cond_duration) # Condition, covariates, and ConflZone interaction

emotions_m6_dur &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = plac_age_cond_duration) # Condition, covariates, and IHLScore interaction

emotions_m7_dur &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = plac_age_cond_duration) # Condition, covariates, and NatID interaction

emotions_m8_dur &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = plac_age_cond_duration) # Condition, covariates, and PolID interaction

stargazer(emotions_m1_dur, emotions_m2_dur, emotions_m3_dur, emotions_m4_dur, emotions_m5_dur, emotions_m6_dur, emotions_m7_dur, emotions_m8_dur, align = T, dep.var.labels = &quot;Emotions Score&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.6: Effect of Violence Prime on Emotion Attribution, Time-Limited&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.6: Effect of Violence Prime on Emotion Attribution, Time-Limited</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Emotions Score
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.62<sup>***</sup> (0.05)
</td>
<td>
4.40<sup>***</sup> (0.37)
</td>
<td>
4.40<sup>***</sup> (0.37)
</td>
<td>
4.46<sup>***</sup> (0.37)
</td>
<td>
4.41<sup>***</sup> (0.37)
</td>
<td>
4.41<sup>***</sup> (0.39)
</td>
<td>
4.57<sup>***</sup> (0.38)
</td>
<td>
4.44<sup>***</sup> (0.38)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-0.13<sup>*</sup> (0.08)
</td>
<td>
-0.14<sup>*</sup> (0.08)
</td>
<td>
-0.17<sup>**</sup> (0.08)
</td>
<td>
-0.21<sup>**</sup> (0.08)
</td>
<td>
-0.15<sup>*</sup> (0.08)
</td>
<td>
-0.18 (0.29)
</td>
<td>
-0.59<sup>**</sup> (0.29)
</td>
<td>
-0.22 (0.20)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
-0.003 (0.003)
</td>
<td>
-0.003 (0.003)
</td>
<td>
-0.003 (0.003)
</td>
<td>
-0.003 (0.003)
</td>
<td>
-0.003 (0.003)
</td>
<td>
-0.003 (0.003)
</td>
<td>
-0.003 (0.003)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
0.27 (0.24)
</td>
<td>
0.27 (0.24)
</td>
<td>
0.24 (0.24)
</td>
<td>
0.26 (0.25)
</td>
<td>
0.27 (0.25)
</td>
<td>
0.28 (0.24)
</td>
<td>
0.26 (0.25)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
0.05 (0.04)
</td>
<td>
0.05 (0.04)
</td>
<td>
0.05 (0.04)
</td>
<td>
0.05 (0.04)
</td>
<td>
0.05 (0.04)
</td>
<td>
0.001 (0.05)
</td>
<td>
0.06 (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
-0.03 (0.08)
</td>
<td>
-0.04 (0.08)
</td>
<td>
-0.03 (0.08)
</td>
<td>
-0.04 (0.08)
</td>
<td>
-0.03 (0.08)
</td>
<td>
-0.03 (0.08)
</td>
<td>
-0.04 (0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
0.08 (0.08)
</td>
<td>
0.07 (0.08)
</td>
<td>
0.08 (0.08)
</td>
<td>
0.08 (0.08)
</td>
<td>
0.08 (0.08)
</td>
<td>
0.07 (0.08)
</td>
<td>
0.08 (0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
0.06<sup>**</sup> (0.03)
</td>
<td>
0.06<sup>**</sup> (0.03)
</td>
<td>
0.06<sup>**</sup> (0.03)
</td>
<td>
0.06<sup>**</sup> (0.03)
</td>
<td>
0.06<sup>**</sup> (0.03)
</td>
<td>
0.06<sup>**</sup> (0.03)
</td>
<td>
0.06<sup>**</sup> (0.03)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.005 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.03 (0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
0.05 (0.18)
</td>
<td>
-0.08 (0.21)
</td>
<td>
0.08 (0.18)
</td>
<td>
0.05 (0.18)
</td>
<td>
0.05 (0.18)
</td>
<td>
0.06 (0.18)
</td>
<td>
0.05 (0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
-0.13 (0.19)
</td>
<td>
-0.11 (0.19)
</td>
<td>
-0.41<sup>*</sup> (0.22)
</td>
<td>
-0.13 (0.19)
</td>
<td>
-0.13 (0.19)
</td>
<td>
-0.13 (0.18)
</td>
<td>
-0.13 (0.19)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
0.08 (0.14)
</td>
<td>
0.08 (0.14)
</td>
<td>
0.08 (0.14)
</td>
<td>
0.02 (0.18)
</td>
<td>
0.08 (0.14)
</td>
<td>
0.08 (0.14)
</td>
<td>
0.08 (0.14)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
-0.33 (0.24)
</td>
<td>
-0.33 (0.24)
</td>
<td>
-0.36 (0.24)
</td>
<td>
-0.33 (0.24)
</td>
<td>
-0.36 (0.32)
</td>
<td>
-0.30 (0.24)
</td>
<td>
-0.32 (0.24)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
0.24 (0.22)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.52<sup>**</sup> (0.22)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.12 (0.22)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.07 (0.47)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.11 (0.07)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.03 (0.06)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.005
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.04
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.003
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.02
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.91 (df = 575)
</td>
<td>
0.91 (df = 564)
</td>
<td>
0.91 (df = 563)
</td>
<td>
0.91 (df = 563)
</td>
<td>
0.91 (df = 563)
</td>
<td>
0.91 (df = 563)
</td>
<td>
0.91 (df = 563)
</td>
<td>
0.91 (df = 563)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
2.76<sup>*</sup> (df = 1; 575)
</td>
<td>
1.36 (df = 12; 564)
</td>
<td>
1.35 (df = 13; 563)
</td>
<td>
1.68<sup>*</sup> (df = 13; 563)
</td>
<td>
1.28 (df = 13; 563)
</td>
<td>
1.25 (df = 13; 563)
</td>
<td>
1.46 (df = 13; 563)
</td>
<td>
1.27 (df = 13; 563)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>mean(plac_age_cond_duration$EmotionScore[plac_age_cond_duration$Condition == 1]) - mean(plac_age_cond_duration$EmotionScore[plac_age_cond_duration$Condition == 0]) # double check ATE with manual DiM</code></pre>
<p>[1] -0.1264791</p>
<pre class="r"><code>coefplot(emotions_m2_dur, main = &quot;Figure OA.2: Effect of Violence Prime on Secondary Emotion Attribution, Time-Limited&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>plac_age_cond_duration &lt;- plac_age_cond_duration %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))
cace_iv_dur &lt;- ivreg(EmotionScore ~ followup_ittd, ~Condition, data = plac_age_cond_duration)
stargazer(cace_iv_dur, type = &#39;html&#39;, title = &quot;Table OA.7: CACE of Prime on EmotionScore, Time-Limited&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.7: CACE of Prime on EmotionScore, Time-Limited</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
EmotionScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
-0.142<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.086)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.621<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.055)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
577
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.004
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.002
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.914 (df = 575)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check for Non-naivete

emotions_followup &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + followup2_1, data = plac_age_cond) # Condition and covariates, plus non-naivete question
stargazer(emotions_followup, type = &#39;html&#39;, title = &quot;Table OA.8: Robustness Check for Non-naivete on Emotions Score&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.8: Robustness Check for Non-naivete on Emotions Score</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
EmotionScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-0.159<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.071)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
-0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.003)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
0.175
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.230)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
0.032
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.036)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
0.035
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.073)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
0.015
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.077)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
0.041
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.028)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
-0.005
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.031)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
0.045
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.162)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
-0.004
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.168)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
0.049
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.126)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
-0.264
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.228)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
followup2_1
</td>
<td>
0.102
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.134)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.391<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.343)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.019
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.001
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.943 (df = 702)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
1.036 (df = 13; 702)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Checking Infrahumanization Independent from Valence

### Run same hypothesis tests for positive_EmotionScore

emotions_m1_pos &lt;- lm(positive_EmotionScore ~ Condition, data = plac_age_cond) # just Condition IV

emotions_m2_pos &lt;- lm(positive_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

emotions_m3_pos &lt;- lm(positive_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = plac_age_cond) # Condition, covariates, and Combatant interaction

emotions_m4_pos &lt;- lm(positive_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = plac_age_cond) # Condition, covariates, and CombExp interaction

emotions_m5_pos &lt;- lm(positive_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = plac_age_cond) # Condition, covariates, and ConflZone interaction

emotions_m6_pos &lt;- lm(positive_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = plac_age_cond) # Condition, covariates, and IHLScore interaction

emotions_m7_pos &lt;- lm(positive_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = plac_age_cond) # Condition, covariates, and NatID interaction

emotions_m8_pos &lt;- lm(positive_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = plac_age_cond) # Condition, covariates, and PolID interaction

stargazer(emotions_m1_pos, emotions_m2_pos, emotions_m3_pos, emotions_m4_pos, emotions_m5_pos, emotions_m6_pos, emotions_m7_pos, emotions_m8_pos, align = T, dep.var.labels = &quot;Positive Emotions Score&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.9: Effect of Violence Prime on Positive Secondary Emotion Attribution&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.9: Effect of Violence Prime on Positive Secondary Emotion Attribution</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Positive Emotions Score
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
2.05<sup>***</sup> (0.07)
</td>
<td>
3.25<sup>***</sup> (0.50)
</td>
<td>
3.25<sup>***</sup> (0.50)
</td>
<td>
3.29<sup>***</sup> (0.50)
</td>
<td>
3.26<sup>***</sup> (0.50)
</td>
<td>
3.17<sup>***</sup> (0.53)
</td>
<td>
3.43<sup>***</sup> (0.52)
</td>
<td>
3.30<sup>***</sup> (0.51)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-0.64<sup>***</sup> (0.10)
</td>
<td>
-0.61<sup>***</sup> (0.10)
</td>
<td>
-0.69<sup>***</sup> (0.11)
</td>
<td>
-0.71<sup>***</sup> (0.11)
</td>
<td>
-0.65<sup>***</sup> (0.11)
</td>
<td>
-0.43 (0.39)
</td>
<td>
-1.10<sup>***</sup> (0.40)
</td>
<td>
-0.72<sup>***</sup> (0.26)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
-0.004 (0.004)
</td>
<td>
-0.004 (0.004)
</td>
<td>
-0.004 (0.004)
</td>
<td>
-0.004 (0.004)
</td>
<td>
-0.004 (0.004)
</td>
<td>
-0.004 (0.004)
</td>
<td>
-0.004 (0.004)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
-0.45 (0.34)
</td>
<td>
-0.43 (0.34)
</td>
<td>
-0.45 (0.33)
</td>
<td>
-0.45 (0.34)
</td>
<td>
-0.46 (0.34)
</td>
<td>
-0.43 (0.34)
</td>
<td>
-0.46 (0.34)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
-0.02 (0.05)
</td>
<td>
-0.01 (0.05)
</td>
<td>
-0.01 (0.05)
</td>
<td>
-0.01 (0.05)
</td>
<td>
-0.02 (0.05)
</td>
<td>
-0.07 (0.07)
</td>
<td>
-0.01 (0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
0.01 (0.11)
</td>
<td>
0.01 (0.11)
</td>
<td>
0.01 (0.11)
</td>
<td>
0.01 (0.11)
</td>
<td>
0.01 (0.11)
</td>
<td>
0.02 (0.11)
</td>
<td>
0.01 (0.11)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
-0.17 (0.11)
</td>
<td>
-0.17 (0.11)
</td>
<td>
-0.17 (0.11)
</td>
<td>
-0.17 (0.11)
</td>
<td>
-0.17 (0.11)
</td>
<td>
-0.17 (0.11)
</td>
<td>
-0.17 (0.11)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-0.06 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.06 (0.04)
</td>
<td>
-0.06 (0.04)
</td>
<td>
-0.06 (0.04)
</td>
<td>
-0.06 (0.04)
</td>
<td>
-0.06 (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
-0.004 (0.04)
</td>
<td>
-0.0004 (0.04)
</td>
<td>
0.002 (0.04)
</td>
<td>
-0.003 (0.04)
</td>
<td>
-0.005 (0.04)
</td>
<td>
-0.001 (0.04)
</td>
<td>
-0.02 (0.06)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
-0.13 (0.24)
</td>
<td>
-0.39 (0.28)
</td>
<td>
-0.11 (0.24)
</td>
<td>
-0.14 (0.24)
</td>
<td>
-0.13 (0.24)
</td>
<td>
-0.12 (0.24)
</td>
<td>
-0.13 (0.24)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
0.36 (0.24)
</td>
<td>
0.39 (0.24)
</td>
<td>
0.03 (0.28)
</td>
<td>
0.38 (0.24)
</td>
<td>
0.36 (0.24)
</td>
<td>
0.36 (0.24)
</td>
<td>
0.36 (0.24)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
0.30<sup>*</sup> (0.18)
</td>
<td>
0.31<sup>*</sup> (0.18)
</td>
<td>
0.33<sup>*</sup> (0.18)
</td>
<td>
0.18 (0.23)
</td>
<td>
0.31<sup>*</sup> (0.18)
</td>
<td>
0.31<sup>*</sup> (0.18)
</td>
<td>
0.30<sup>*</sup> (0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
-0.78<sup>**</sup> (0.33)
</td>
<td>
-0.80<sup>**</sup> (0.33)
</td>
<td>
-0.82<sup>**</sup> (0.33)
</td>
<td>
-0.79<sup>**</sup> (0.33)
</td>
<td>
-0.64 (0.44)
</td>
<td>
-0.77<sup>**</sup> (0.33)
</td>
<td>
-0.78<sup>**</sup> (0.33)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
0.50<sup>*</sup> (0.29)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.63<sup>**</sup> (0.29)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.26 (0.29)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.32 (0.65)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.12 (0.10)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.04 (0.08)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.05
</td>
<td>
0.08
</td>
<td>
0.09
</td>
<td>
0.09
</td>
<td>
0.08
</td>
<td>
0.08
</td>
<td>
0.09
</td>
<td>
0.08
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.05
</td>
<td>
0.07
</td>
<td>
0.07
</td>
<td>
0.07
</td>
<td>
0.07
</td>
<td>
0.07
</td>
<td>
0.07
</td>
<td>
0.07
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.39 (df = 714)
</td>
<td>
1.38 (df = 703)
</td>
<td>
1.38 (df = 702)
</td>
<td>
1.38 (df = 702)
</td>
<td>
1.38 (df = 702)
</td>
<td>
1.38 (df = 702)
</td>
<td>
1.38 (df = 702)
</td>
<td>
1.38 (df = 702)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
38.23<sup>***</sup> (df = 1; 714)
</td>
<td>
5.33<sup>***</sup> (df = 12; 703)
</td>
<td>
5.17<sup>***</sup> (df = 13; 702)
</td>
<td>
5.32<sup>***</sup> (df = 13; 702)
</td>
<td>
4.98<sup>***</sup> (df = 13; 702)
</td>
<td>
4.93<sup>***</sup> (df = 13; 702)
</td>
<td>
5.05<sup>***</sup> (df = 13; 702)
</td>
<td>
4.93<sup>***</sup> (df = 13; 702)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>coefplot(emotions_m2_pos, main = &quot;Figure OA.3: Effect of Violence Prime on Positive Secondary Emotion Attribution&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>cace_iv_pos &lt;- ivreg(positive_EmotionScore ~ followup_ittd, ~Condition, data = plac_age_cond)
stargazer(cace_iv_pos, type = &#39;html&#39;, title = &quot;Table OA.10: CACE of Prime on Positive Secondary Emotion Attribution&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.10: CACE of Prime on Positive Secondary Emotion Attribution</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
positive_EmotionScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
-0.769<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.122)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
2.050<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.072)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.082
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.081
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.371 (df = 714)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>### Run same hypothesis tests for negative_EmotionScore 

emotions_m1_neg &lt;- lm(negative_EmotionScore ~ Condition, data = plac_age_cond) # just Condition 

emotions_m2_neg &lt;- lm(negative_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

emotions_m3_neg &lt;- lm(negative_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = plac_age_cond) # Condition, covariates, and Combatant interaction

emotions_m4_neg &lt;- lm(negative_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = plac_age_cond) # Condition, covariates, and CombExp interaction

emotions_m5_neg &lt;- lm(negative_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = plac_age_cond) # Condition, covariates, and ConflZone interaction

emotions_m6_neg &lt;- lm(negative_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = plac_age_cond) # Condition, covariates, and IHLScore interaction

emotions_m7_neg &lt;- lm(negative_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = plac_age_cond) # Condition, covariates, and NatID interaction

emotions_m8_neg &lt;- lm(negative_EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = plac_age_cond) # Condition, covariates, and PolID interaction

stargazer(emotions_m1_neg, emotions_m2_neg, emotions_m3_neg, emotions_m4_neg, emotions_m5_neg, emotions_m6_neg, emotions_m7_neg, emotions_m8_neg, align = T, dep.var.labels = &quot;Negative Emotions Score&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.11: Effect of Violence Prime on Negative Secondary Emotion Attribution&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.11: Effect of Violence Prime on Negative Secondary Emotion Attribution</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Negative Emotions Score
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
2.59<sup>***</sup> (0.08)
</td>
<td>
1.17<sup>**</sup> (0.55)
</td>
<td>
1.17<sup>**</sup> (0.55)
</td>
<td>
1.16<sup>**</sup> (0.56)
</td>
<td>
1.16<sup>**</sup> (0.55)
</td>
<td>
1.22<sup>**</sup> (0.58)
</td>
<td>
1.18<sup>**</sup> (0.58)
</td>
<td>
1.13<sup>**</sup> (0.57)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
0.49<sup>***</sup> (0.11)
</td>
<td>
0.46<sup>***</sup> (0.11)
</td>
<td>
0.48<sup>***</sup> (0.13)
</td>
<td>
0.48<sup>***</sup> (0.13)
</td>
<td>
0.48<sup>***</sup> (0.13)
</td>
<td>
0.35 (0.43)
</td>
<td>
0.45 (0.44)
</td>
<td>
0.54<sup>*</sup> (0.29)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
0.003 (0.005)
</td>
<td>
0.003 (0.005)
</td>
<td>
0.003 (0.005)
</td>
<td>
0.003 (0.005)
</td>
<td>
0.003 (0.005)
</td>
<td>
0.003 (0.005)
</td>
<td>
0.003 (0.005)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
0.61<sup>*</sup> (0.37)
</td>
<td>
0.61 (0.37)
</td>
<td>
0.61<sup>*</sup> (0.37)
</td>
<td>
0.61 (0.37)
</td>
<td>
0.62<sup>*</sup> (0.37)
</td>
<td>
0.61<sup>*</sup> (0.37)
</td>
<td>
0.62<sup>*</sup> (0.37)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
0.05 (0.06)
</td>
<td>
0.05 (0.06)
</td>
<td>
0.05 (0.06)
</td>
<td>
0.05 (0.06)
</td>
<td>
0.05 (0.06)
</td>
<td>
0.05 (0.07)
</td>
<td>
0.05 (0.06)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
0.02 (0.12)
</td>
<td>
0.02 (0.12)
</td>
<td>
0.02 (0.12)
</td>
<td>
0.02 (0.12)
</td>
<td>
0.02 (0.12)
</td>
<td>
0.02 (0.12)
</td>
<td>
0.02 (0.12)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
0.18 (0.12)
</td>
<td>
0.18 (0.12)
</td>
<td>
0.18 (0.12)
</td>
<td>
0.18 (0.12)
</td>
<td>
0.18 (0.12)
</td>
<td>
0.18 (0.12)
</td>
<td>
0.18 (0.12)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
0.10<sup>**</sup> (0.05)
</td>
<td>
0.10<sup>**</sup> (0.05)
</td>
<td>
0.10<sup>**</sup> (0.05)
</td>
<td>
0.10<sup>**</sup> (0.05)
</td>
<td>
0.10<sup>**</sup> (0.05)
</td>
<td>
0.10<sup>**</sup> (0.05)
</td>
<td>
0.10<sup>**</sup> (0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
-0.002 (0.05)
</td>
<td>
-0.002 (0.05)
</td>
<td>
-0.003 (0.05)
</td>
<td>
-0.002 (0.05)
</td>
<td>
-0.001 (0.05)
</td>
<td>
-0.002 (0.05)
</td>
<td>
0.01 (0.07)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
0.18 (0.26)
</td>
<td>
0.24 (0.31)
</td>
<td>
0.17 (0.26)
</td>
<td>
0.18 (0.26)
</td>
<td>
0.18 (0.26)
</td>
<td>
0.18 (0.26)
</td>
<td>
0.18 (0.26)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
-0.33 (0.26)
</td>
<td>
-0.34 (0.26)
</td>
<td>
-0.25 (0.31)
</td>
<td>
-0.34 (0.27)
</td>
<td>
-0.33 (0.26)
</td>
<td>
-0.33 (0.26)
</td>
<td>
-0.34 (0.26)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
-0.25 (0.20)
</td>
<td>
-0.25 (0.20)
</td>
<td>
-0.25 (0.20)
</td>
<td>
-0.18 (0.25)
</td>
<td>
-0.25 (0.20)
</td>
<td>
-0.25 (0.20)
</td>
<td>
-0.25 (0.20)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
0.50 (0.37)
</td>
<td>
0.50 (0.37)
</td>
<td>
0.51 (0.37)
</td>
<td>
0.50 (0.37)
</td>
<td>
0.42 (0.49)
</td>
<td>
0.50 (0.37)
</td>
<td>
0.49 (0.37)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
-0.11 (0.32)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.16 (0.32)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.13 (0.32)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.18 (0.73)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.003 (0.11)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.03 (0.09)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.03
</td>
<td>
0.05
</td>
<td>
0.05
</td>
<td>
0.05
</td>
<td>
0.05
</td>
<td>
0.05
</td>
<td>
0.05
</td>
<td>
0.05
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.02
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.54 (df = 714)
</td>
<td>
1.53 (df = 703)
</td>
<td>
1.53 (df = 702)
</td>
<td>
1.53 (df = 702)
</td>
<td>
1.53 (df = 702)
</td>
<td>
1.53 (df = 702)
</td>
<td>
1.53 (df = 702)
</td>
<td>
1.53 (df = 702)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
18.37<sup>***</sup> (df = 1; 714)
</td>
<td>
3.08<sup>***</sup> (df = 12; 703)
</td>
<td>
2.85<sup>***</sup> (df = 13; 702)
</td>
<td>
2.86<sup>***</sup> (df = 13; 702)
</td>
<td>
2.85<sup>***</sup> (df = 13; 702)
</td>
<td>
2.84<sup>***</sup> (df = 13; 702)
</td>
<td>
2.84<sup>***</sup> (df = 13; 702)
</td>
<td>
2.85<sup>***</sup> (df = 13; 702)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>mean(plac_age_cond$negative_EmotionScore[plac_age_cond$Condition == 1]) - mean(plac_age_cond$negative_EmotionScore[plac_age_cond$Condition == 0]) # double check ATE with manual DiM</code></pre>
<p>[1] 0.4926213</p>
<pre class="r"><code>coefplot(emotions_m2_neg, main = &quot;Figure OA.4: Effect of Violence Prime on Negative Secondary Emotion Attribution&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>cace_iv_neg &lt;- ivreg(negative_EmotionScore ~ followup_ittd, ~Condition, data = plac_age_cond)
stargazer(cace_iv_neg, type = &#39;html&#39;, title = &quot;Table OA.12: CACE of Prime on Negative Secondary Emotion Attribution&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.12: CACE of Prime on Negative Secondary Emotion Attribution</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
negative_EmotionScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
0.587<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.136)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
2.590<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.080)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.042
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.041
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.524 (df = 714)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
</div>
<div id="effect-of-prime-on-morals-score" class="section level3">
<h3>Effect of Prime on Morals Score</h3>
<pre class="r"><code># Effect of Prime on Morals Score

morals_m1 &lt;- lm(MoralScore ~ Condition, data = plac_age_cond) # just Condition 

morals_m2 &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

morals_m3 &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = plac_age_cond) # Condition, covariates, and Combatant interaction

morals_m4 &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = plac_age_cond) # Condition, covariates, and CombExp interaction

morals_m5 &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = plac_age_cond) # Condition, covariates, and ConflZone interaction

morals_m6 &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = plac_age_cond) # Condition, covariates, and IHLScore interaction

morals_m7 &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = plac_age_cond) # Condition, covariates, and NatID interaction

morals_m8 &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = plac_age_cond) # Condition, covariates, and PolID interaction

## Coefficient Table Stargazer

stargazer(morals_m1, morals_m2, morals_m3, morals_m4, morals_m5, morals_m6, morals_m7, morals_m8, align = T, dep.var.labels = &quot;Morals Score&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table 4.2: Effect of Violence Prime on Moral Exclusion&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table 4.2: Effect of Violence Prime on Moral Exclusion</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Morals Score
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.61<sup>***</sup> (0.08)
</td>
<td>
5.02<sup>***</sup> (0.46)
</td>
<td>
5.03<sup>***</sup> (0.46)
</td>
<td>
5.03<sup>***</sup> (0.46)
</td>
<td>
5.04<sup>***</sup> (0.46)
</td>
<td>
5.10<sup>***</sup> (0.48)
</td>
<td>
5.02<sup>***</sup> (0.48)
</td>
<td>
4.95<sup>***</sup> (0.47)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
0.10 (0.11)
</td>
<td>
0.07 (0.10)
</td>
<td>
0.04 (0.10)
</td>
<td>
0.07 (0.10)
</td>
<td>
0.02 (0.10)
</td>
<td>
-0.10 (0.36)
</td>
<td>
0.08 (0.37)
</td>
<td>
0.23 (0.24)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
0.10 (0.31)
</td>
<td>
0.11 (0.31)
</td>
<td>
0.10 (0.31)
</td>
<td>
0.11 (0.31)
</td>
<td>
0.10 (0.31)
</td>
<td>
0.10 (0.31)
</td>
<td>
0.10 (0.31)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
<td>
-0.29<sup>***</sup> (0.06)
</td>
<td>
-0.30<sup>***</sup> (0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
0.01 (0.10)
</td>
<td>
0.003 (0.10)
</td>
<td>
0.01 (0.10)
</td>
<td>
0.01 (0.10)
</td>
<td>
0.004 (0.10)
</td>
<td>
0.01 (0.10)
</td>
<td>
0.01 (0.10)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
-0.06 (0.10)
</td>
<td>
-0.06 (0.10)
</td>
<td>
-0.06 (0.10)
</td>
<td>
-0.06 (0.10)
</td>
<td>
-0.06 (0.10)
</td>
<td>
-0.06 (0.10)
</td>
<td>
-0.06 (0.10)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
-0.20<sup>***</sup> (0.04)
</td>
<td>
-0.20<sup>***</sup> (0.04)
</td>
<td>
-0.20<sup>***</sup> (0.04)
</td>
<td>
-0.20<sup>***</sup> (0.04)
</td>
<td>
-0.20<sup>***</sup> (0.04)
</td>
<td>
-0.20<sup>***</sup> (0.04)
</td>
<td>
-0.18<sup>***</sup> (0.06)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
-0.01 (0.22)
</td>
<td>
-0.12 (0.26)
</td>
<td>
-0.01 (0.22)
</td>
<td>
-0.02 (0.22)
</td>
<td>
-0.01 (0.22)
</td>
<td>
-0.01 (0.22)
</td>
<td>
-0.01 (0.22)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
-0.76<sup>***</sup> (0.22)
</td>
<td>
-0.75<sup>***</sup> (0.22)
</td>
<td>
-0.79<sup>***</sup> (0.26)
</td>
<td>
-0.73<sup>***</sup> (0.22)
</td>
<td>
-0.76<sup>***</sup> (0.22)
</td>
<td>
-0.76<sup>***</sup> (0.22)
</td>
<td>
-0.77<sup>***</sup> (0.22)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
-0.44<sup>***</sup> (0.17)
</td>
<td>
-0.44<sup>***</sup> (0.17)
</td>
<td>
-0.44<sup>***</sup> (0.17)
</td>
<td>
-0.62<sup>***</sup> (0.21)
</td>
<td>
-0.44<sup>***</sup> (0.17)
</td>
<td>
-0.44<sup>***</sup> (0.17)
</td>
<td>
-0.44<sup>***</sup> (0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
1.64<sup>***</sup> (0.31)
</td>
<td>
1.64<sup>***</sup> (0.31)
</td>
<td>
1.64<sup>***</sup> (0.31)
</td>
<td>
1.64<sup>***</sup> (0.31)
</td>
<td>
1.51<sup>***</sup> (0.40)
</td>
<td>
1.64<sup>***</sup> (0.31)
</td>
<td>
1.63<sup>***</sup> (0.31)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
0.21 (0.26)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.06 (0.26)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.36 (0.26)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.30 (0.60)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.002 (0.09)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.05 (0.08)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.28
</td>
<td>
0.28
</td>
<td>
0.28
</td>
<td>
0.29
</td>
<td>
0.28
</td>
<td>
0.28
</td>
<td>
0.28
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
-0.0002
</td>
<td>
0.27
</td>
<td>
0.27
</td>
<td>
0.27
</td>
<td>
0.27
</td>
<td>
0.27
</td>
<td>
0.27
</td>
<td>
0.27
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.49 (df = 714)
</td>
<td>
1.27 (df = 703)
</td>
<td>
1.27 (df = 702)
</td>
<td>
1.27 (df = 702)
</td>
<td>
1.27 (df = 702)
</td>
<td>
1.27 (df = 702)
</td>
<td>
1.27 (df = 702)
</td>
<td>
1.27 (df = 702)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
0.87 (df = 1; 714)
</td>
<td>
23.25<sup>***</sup> (df = 12; 703)
</td>
<td>
21.51<sup>***</sup> (df = 13; 702)
</td>
<td>
21.44<sup>***</sup> (df = 13; 702)
</td>
<td>
21.63<sup>***</sup> (df = 13; 702)
</td>
<td>
21.46<sup>***</sup> (df = 13; 702)
</td>
<td>
21.43<sup>***</sup> (df = 13; 702)
</td>
<td>
21.49<sup>***</sup> (df = 13; 702)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>mean(plac_age_cond$MoralScore[plac_age_cond$Condition == 1]) - mean(plac_age_cond$MoralScore[plac_age_cond$Condition == 0]) # double check ate with manual DiM</code></pre>
<p>[1] 0.1035451</p>
<pre class="r"><code>## Make coefficient plot

morals_m2_names &lt;- c(&quot;Constant&quot;, &quot;Condition&quot;, &quot;Age&quot;, &quot;Nationality&quot;, &quot;NatID&quot;, &quot;Gender&quot;, &quot;Religion&quot;, &quot;Race&quot;, &quot;PolID&quot;, &quot;Combatant&quot;, &quot;CombExp&quot;, &quot;ConflZone&quot;, &quot;IHLScore&quot;)

coefplot(morals_m2, varnames = morals_m2_names, main = &quot;Effect of Violence Prime on Moral Exclusion (Model 2)&quot;)</code></pre>
<p><img 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InL/Prrr83QoUPNsGHD/L9XX33VLLLIImaZZZbx/1ZeeWXzi1/8ojR/relLMzKSu0BW2+Yvf/mL+e6772L5PfLII82ss84am15pwgsvvGDuvffeWJINN9zQrLfeev709957z9xwww2xNMcee6yZYYYZYtPzmtAs+cirfEVcbtpjZteuXf19aeaZZzazzTabmWeeecyiiy5qVlppJdOtW7fcaNincqNt+QWPHTvW3HTTTRXL8Yc//MHfXysl+uKLL8zFF19cKYn59a9/bXr16lUxTdE/zOO7mPb4U4tttWu2WpbV6LR5GDe6DJXWV/TyVSp72s8GDx5s9txzz1Lya665xuy6666l9xz3ShT+yLvvvmsGDRpUPtG+O+6444yuW/IeGrVPa7u/8cYbRq/jxo3zf5f26dPH/52p11lmmaViUY8//nhz4YUX+mlmmmkmM2LECNO7d++K8/AhAqkEPAYEEOhUAXtA9+yXNdO/0aNHJ5bptdde8+yJp+L61l9//dL8taYvzdhiI99++613+umne48//njL5DzLbbPLLrs494lbbrmlZo/f/OY3zmU999xzpWU98cQTzjTff/99KU0jRpolH40oa1HW0dFjZvfu3b2jjz7a++CDD3IhYZ/KhbUQC33ggQecx73wNcB9991Xtaz/+te/qi7n4YcfrrqcoifI47vY0eNPeFsH45Wu2Zp9G+Vh3ExlLnr5Omr95Zdfej179iwdj+abbz7P3kwvWyzHvTIO/3dG8N0Pv/7www/lCXN6l/c+PXz4cG/LLbcs7RPhMgbjCy20kGeDwBVLOGbMGK9Lly6l5WiZDAhkIZD/bQa7pzMggEBzCEybNs3svPPO5s0336yYoVVXXdX/vNb0FRfaxB/aH5Omb9++5sQTTzTffPNNE+f0f1nLetvYoOX/Fh4au/nmm0Pvqo/aAKa56667Ygl113bNNdeMTWcCAo0W+Pzzz80555xjVlllFWMDD41ePetDoKKAns6oNjzyyCPVkvA5AgggkLvAqaeeaiZOnFhazz777FO1Zl8pcWiE414Io4VHDzzwQLPGGmsYG/SuWArVpP/tb39rBgwYYOzNaGda1RLdZJNNSp9pmaptzIBARwUIgHZUkPkRaCGBp59+2thag1VzvNpqq/lpak1fdcFNluCVV17xT6477bSTGT9+fJPlrnJ2st429s6q/4hwdK3333+/mTp1anRy4vuHHnrImV6PYzIg0EwCH3/8sVGzDGmOic2Ub/JSbAECAcXevpQOgaIIqPmsv/71r6Xi6PFtNedQz8Bxrx615prnoosuMn//+99rytRTTz1l9thjD2Nr9TnnO/jgg8umq4kYNf3FgEBHBAiAdkSPeRFoMYFnn33WmeNjjjnGjBo1yrz00kvmzjvvNAqGaag1vXPhTTxRNcAeffTRJs5hctay3jZqJzHcZlOwZrULqn0i7XD77bc7kxIAdbIwsZMFPvvsM2Mfh+/kXLB6BP4noFrJH3300f8mRMbef/99v121yGTeIoAAAg0VGDhwoPnxxx9L69xiiy3MkksuWXpfywjHvVq0mi+tfpP88Y9/dGZsjjnm8J+4SeqbQk80nH/++c55t912W7+PiuDDCRMmlNoFDabxikCtAnSCVKsY6RFokIA6pdlqq63qWlvSBcinn34aW17//v3NWWedVZquDkKCodb0wXyt8vrTTz+1SlZj+cxj2yhIefnll8fWZdsB9R9ViX0QmaDH8l3BUj0Os/TSS5el1qMtV111Vdk0vZlxRk5LMRQmpBIIHzOnT59ubHtaRk0yqKan9svrrrvOuL7z99xzj9+4vo6FWQzs21kotu8yVBNGPwh/9atfORF4/N3J0ukTw8efWjOTdM1W63JIn70Ax3O3qTrSue2228o+3Hfffcve1/KG414tWs2X9rLLLisLhiuH6uRInRj97ne/M7YtTz/TDz74oN9hVvQm35lnnukMoOo3gTrY0ufB8Le//c0cddRR/F4IQHitWYBfmjWTMQMCjRGwjYr77VJmuTbXo8xLLLFE4ipqTZ+4ID7IXCCPbbPuuusa7Q/R5gD0WPuUKVPM3HPPXbEcttMNo96Jo4OrfdEFF1zQdORiOboO3iNQ6ZipWgR6dEpBpZdffjmGNWTIEJNVAJR9O8bLhAoCs88+u/nqq6/KUuhx0LQBUP2wnG222WLLKFsgb3IXqHT8yX3lrCA3AY7nbloFtsK1P3/2s5+Vnh5zz1E+leNeuUerv3PdmFON0GiTCKolfMkllxjb8WpZkfU0zrvvvmsWX3zxsul684tf/KIsAKqnINR3g+uptdjMTEDAIUAA1IHCJASKKqBaUdFBjz4nDbWmT1qOagaqvU09uqDOhtQhjtoKymJQhyZqh0h3E/UDRCfPBRZYoHS3MYt1ZLmMSZMmGd05V6PxyueKK65o5pprrppXkdW2Ca9YP6T1ozt8p1WfqyadLjaqBSxdj7/r7u1uu+0WXk2m41l5diRTee7fQb7UTqUuDrXd1Uav7UEz+Kiu1zy+N41wqKuw/51p+eWXN1dccYVZa621Yot55513YtMqTVBN0ueee85v73aZZZap+7G/SusIf/b222+b119/3d/2iyyySPij2Lh+lL7wwgv+MUZpl1tuOaMfm/UMzbBNG/kdz/p7lsbc9ppsFl10UX/7BuldPyaTPlthhRX8G1TRIGqQPu1r3s61fmds79J+5xjqIEO1uBXknWeeeYweo4w+UZC2jKRLFsjjnJC8tsZ8ojLpekvnTu1/PXr0MApo6vypgF2jhry/W+FyNOIYphvwV155ZXi1ZtNNN/W/o2UTK7wp+nFPAb3nn3/e6DfW6quvbmadddYKGrV/1Azn5iDXtrd2Z0dG0fY7g/Tbb7+9X3szHEDXZ/JyBUDlt/DCC5etQ+2NEgANRHmtWSCLruRZBgII1C8wYsQItfwc+7O9b9e/0NCcJ598smcDbf6fveCLrUfTgs/1amsBlt6nSW/bDw2t7X+j9sTm2UCaZ9vZ9Gaaaaay9dofMp4NQvifK12tw4svvujZGl2eDXiWLTdwtD+SvBNOOMGzP5pii77mmmtK5QvSh19tMLL0ufKexWCDs965557rLbvsss78LrbYYt4222zjPfnkkxVXV+u2TNo2lVZig8nOPNqL20qzefZizOvevXts3p///OfO+Wx7QSXn8P6n5VQbsvLUep544olYnrU/2EenK2Yjq/3btkEbczjiiCP8dWsd9rFKb6mllorl0f6I8+xjRZ4NElTMZ/jDjnxvwssJj2flEF5mtfGOHDNtANmzwcCYp22moWy19uI6tl1skw2e5j/22GM9HSfCx421117bs22Y+cuoZd8+5JBDYusZOXKkv5w33njD23nnnT37o71sXb169fJsT7ue/VFdluc77rjD23zzzWPlU3m1r9gfZGXpk950xjaN5iXL77iW3cjvWbQs4fe2F9uybal9yNa69w466KDYdPujMjyrP26D4LF0hx12mPNcaGvkx+aPTsjSuSPfmSBf2vdsL7/eRhttFCtn+Ptmfwx7+++/v2cDW8Gsztd6j+/Ohf13YkeOP5WWG3ymbWxvXMSOCzpP/vvf/w6Slb2OHTvWs0H02Dw6d9gAclna8Jsszgm1GNubpLE82hs04SzFxs8+++zYPDaAEksXTJg8ebJ/jLZPrCTuQzYo5dngiWdrWvvH9GBe12stx/Pw/Fl+t7TcZjmGKS+2WaSYrc6PSUORj3vhMn/77beert90TA8fr2xFAK9fv37eTTfd5Cd//PHHyz4P0trKBuHFxcazOjfX8p2NZcIxQdcstiMjb7PNNvPsjWZPv8HmnXdeR8r/TdI1bFDu4FX7VdJge5ePpbf9ViQlZzoCFQXU6xYDAgh0okDeF9P2EYTYSSM42bheFfRzTU+aph/w0UE/StZbb71Uy1G6aj9iguXr4uC0006LBVST8tatWzdPF9zhwT56kSpfWqYCrB0dbM3JWLAkKb+2Vqz3+9//3rM9HDpXW+u2dG0b54IjE1ddddWY0QwzzODpgj5puO+++2LzqJw33nijc5Z6L8Cy9FTG6slHlvu364eBrWnr/2hVUC5pXwmm2/bJPP2IrTRk8b1xLT9LB9fyk6Z15Jj5zTffeK4bO/pxEh70ozswDl4vvvhi7//+7/9i0/W5rT3tjRs3zl9ELfuUbR4itjxbs9Sz7WQ5bygEedGrrcXk2Zqhnn4UKSAa/sw1bmvNebY2VLiYsfHO2qbhjGT9HdeyG/E9C5chadyVD/1YdgUULr300thiXOcvebluBlYLgGbt3JHvjApqO9zzdKPNte8mTVNw3zZfEXMKJtTyXQzmqfbakeNPtWUHn7ssZWCfoPGdgnR6tTUbvQEDBjjdrr/++nDS0niW54RajP/xj3/E8qnAbqVBN7Oj21/ldQ2DBg3ybIcrsfTR+cPv9957b9/QtTxNq6V8wTKy/m5pua5jR9bXCkH+q726zjfRG3LhZbjyXpTjXlBOVR6wtfGr7nu6xtexObwPBuOVAqBZnpvr2aeDcqZ9rVSZQTfudc0UlDt4dd30C9bn+o2h4yQDAvUIEACtR415EMhQIO+L6VqDZh0NgA4bNqzqD/fgZBe8quag7ohWGnQyVa3RYJ60r7rTb9uwLC3a9QMyaVkdDYAef/zxNedXebFNBHiqBRIdat2W9QZAzzvvPGe+XT/IgzzqR0TUUT9O7WOZQZKy13ouwLL2VIZqzUfW+7frh4Ft78i/ix71THqvGjSqmegasvreRJedtUN0+ZXed+SYaTs8iu2nclWN8vDgCkColrbrol3zq+Z8MNSyT7kCoHvttZenGw5J2zs8XYFb23lZqrSab+uttw6yGXvtzG0aZCaP77iWnff3LMh/tVdXPhQI0M2l8HbV+A477BBbnKaF02l/tB3i1RwAzcO5I98ZBfH0HQyXLe24nih56623YlaaUMt30bkAx8SOHH8ci3NOkseGG27o9DjxxBPL5rG9JzvT7b777mXpgjdZnxNqMc4zADp8+HDPdrritKi2L6k2cdJQS/m0jDy+W1qu69iR5bWC1pF2UA3lsKl9bLnirK68F+W4p4LbdsU9VbgIm1Qaj/oFaZMCoFmfm2vdpytu3Do+tB1Sxqx0HNdxL2n45JNPYvPoiRcGBOoRIABajxrzIJChQNLFtB4j0GNgtf7ZtiXLcldr0KwjAVCdvGz7hLGTlE7uqq2kk5WCNarpGJzwg1eVt9LJ75xzzonNE8yrAKrtRTXxc9UICB7/bFQAVDUAgvy5XqPNAkTT2A5Z/Jpd4Y1Z67asNwBqGxh3bqOkWhf6QaVHXqJlUHAnaaj1AiwPT+WtlnzksX+7fhhEHW2bd/6PYVfNxSCt7eXcSZ3V9ya88DwcwsuvNp50zKzWbIhqULhqN8vQ9ihatlpXMCewdr3aXklL89eyT7kCoOHla5srEOKq4RdOF4wrAKBzRqXjoW0ftJTXYKSzt6nykdd3XMvO+3umdaQZXPlQIECDzo3BdtSrzmuq3RsM2kbRZkZWXnll/2PX/pFUAzQv5458Z+66666ysocd5KLAvW0HztOjpOHPgvGBAwcGTGWvtXwXy2as8Cbp+JPVNVuwattmuud6jFvXDkFzG2omw3VeUEDKtn8ZLKrsNetzQi3GeQZA9TREsD8ErzoOHn744X5zS8cdd5z/ZJJuigefh18VxHINtZQvr++W8uU6doTzr/GOXCu4yu6apn0vul7dHKw0uPJelOOeym079omZBEZ68kKPhqumczAt6dUVAM3j3FzLPl1pu9bzmZ7CcTXrtPHGG1ddXPSxeduuatXmqqoulARtKUAAtC03O4VuJoGki+mkE2S16dGaEHos8+mnn/b/1B5jdH4FJYPP9aoTY/A+TXq1PRUMagMounz9IFfQMTw888wzni7Qo2n/+c9/hpOVxhWQc7XbpwsLPS4aDHoEJSlIqIt+DQqC6FEK1+MUys+pp55a+lxtLtUz6FEgV0BQy1fAQ9tcbUyq5o4CV0nBij//+c9lq691W4a3TdmCUrxxPYqowHU0wK5FuS5uVdb7778/cU21XIDl5anM1ZKPPPbvJDv56WaC2nzTBbAGXTi6atoG+5WfKPQvy+9NaLFeHg7h5VcbTzpm6nFPGelPNY9VY0Dfd7XhZnus9WynC7Fjjuz0Fw0KVgrmKAil9q50XNMjiLrBou9yMNSyT1UKgKrGdbgG9VlnnZWYf5XhjDPO8GznFEE2PLUZHJQv/PrXv/61lCYY6extmud3XGXM83sWGKZ5deUjCATYDiNi20s1f4JBNdzC21HjepxSQ9oAaJ7OHfnObLLJJrGybbfddrF2bhUU1Hk/6qAAg2uo5bvomt81Len4E81T2vfRa7bwOm+77bZYWbVcNY+ia4g111wz9rlqjz/11FPhxZTG8zgn1GKcVwBU7ZxGvRU4D99ACBC0D0VvJGheHctdQ9ry5fndUr5cx46gzB29VnCVO2ma6wkhBZcrDa68F+W4pyfMgu0QflVb3bZTnzIWNQlVqaaoKwCax7k57T5dlvkM3uhaNvoUg8z0JEP4t1zSqly/S6r1nZC0LKa3twAB0Pbe/pS+CQQaeTGtRyvDJ2iN6/HJpKGW9GrTxXWHUwFF16AgaPRxUtubsvOCdc8994zle8455ywLOoTXodqT0XLqB2L04iKaRu8VGO3ocPrpp8fWr2XrwtE1qKbGOuusE5tHF0pJP45q2TaudVabdu2118byozJccMEFsVn1wyFqqY5bXD8+gplruQDL0zNtPvLav10/DGSpTnZsz+QBV+lVwT01kRD1Vic80SGP701eDtG8V3qf9THT9ahxUjBHNWyi7WhGa1ql3adUxqQAqIJh0UE/Hlw3jrQvuMqg453rh/6RRx5Ztuhm2KZ5fsdV2Dy/Z2WYVd648hEEAlzBrnDNRlcAPGj/Mm0ANE/ner8z2q8vv/xyvyMoNSWhc7v+pkyZ4tRU2ujxL6nDwlq+i86VOSZmffxJOscHq0666eW6zpHLSSedFMwae83jnFCLcV4BUFcN4vXXXz9W/mCCbrarVrECd2p/V20PBjcagzTBa9ry5fndUl5cxw5t7yyuFYKypnk94IADYt+/pMoLwfJceS/Kcc917a6aiUmdj7mO88HxLPobJa9zc9p9Oth+WbyqmSZXR0Yqe9LNh+h6//CHP8T2PdcN3eh8vEcgKkAANCrCewQaLNDIi+lag2a1pNdduOAkHrwqgJfUoY+YVWsjSBu8uh7bc/3oV0/MSYMutvSDSBf7Cjpqma4OfIJ1hl87GgDVSV53fsPL1Lge30tqp1HlUA20aEBY85155pnOYtaybZwLqDLxiy++cN6pVo2T8KALNvX2GC1vUDMpnDY8nvYCLG/PtPnIa/92/TCQZbTWdNhOPXpHvfX4ZXTI43uTl0M075XeZ3nMVBDBdYxKCuaoVmW1Ie0+peW4AqB6RFOBbtegH+3Rba/3H374oSu5p8fKoun322+/srSdvU3z/o6rsHl+z8owq7xx5SMIBHz88cexc4CaMwiGaC1J1cgPmnZJEwDN27kj35mgjMFruEZ1MC14ddW40jnXNdTyXXTN75qW5fFH381qAVAFQVw3vaLfa73XjbBoECVchjzOCbUY5xUAHTVqVOw4Jw8123P11Vd7qvla75CmfHl/t5R317FDZcziWqEWG1cNvscee6ziIlx5L8pxT8HO6Hcx2qROGEeBdlX2iM6j99Hvbl7n5jT7dDjPHR1XmXXd4SqzmvnQ0zppBlfzHZV+C6ZZJmnaU2BGuzMyIIBAEwrYR6iNPbHWnDPbRlbN82Qxg72Ijy3GPtpdsQwrrbSSscHJsvnsI6tl723PsMbWuCqbpje2zZ3YtGCCPqv0eZAuj1f7GL6xj6rHFm1rGhgb4IxNDybYgK3ZaqutzL333htM8l9te0tl7xv1xtbAMbZTCnPrrbeWrdI+kmnGjx9v7MWrP91e+JrJkyeXpdEbW7M4Nq2eCc3imdf+nWRiO/xK+qhkH06g70l4yOt702iHcJmyHtc+fPfdd1c8RkXXueOOO0YnZf7eBrONvXnkXK6t7RObrnLYtrFi0zXBld4GV8vSdvY27czveEe/Z2WQHXxjaxcb+9iukUcw2CcljLaXDXYa2xxGMNl/te1/GvvjsWxapTed5VzPd8beVCsriq1NZXTusc2qGFvbr+wzvbE3MWLTGj0hr2s22/yPsY/OGls71tinKhKLpXO20iVdA+Z1TkjMUAM/0HdBTrbJkLK12gCS0Z+GZZdd1tiAqLE33o1t+snIK6uhs75byn+jj2G2MkGMrSOWrXzcs80e+MfnKMhOO+0UnVR6r2P5rrvuamyN4dK0pJHOPjcn5auW6Tb4aWwtdjNo0KDYbLa5DmObLjK2eaLYZ64Jrv3MBk9dSZmGQEWBzomUVMwSHyKAgARspxpmt912axmMN998M5ZXnZgqlcE1j71TX7act99+WzXVy6bpja3xEpvWDBNcwU/la4UVVqiaPaVplgCoMmtrp8UCoJpuHxkzRx99tEaNfZzHfw3/s3e3ja1ZF55U93izeLr21Sz27ySYIMDs+tx2ehGbbGuglE3L63vTaIeyQmX0xtYWM0cccYSxj10Z2/No6qXqBoZ+ROc92A7jEldh21SOfbbYYovFpgUTbPukwWjpNXo87ext2pnf8Y5+z0qoGY3YGp9lAVDbzqOxbXL7Qa3oTQ7bOVZNa+0M53q/M7btPGPbsfTLbtuGM7bt6YplrXRzseKMGX6Y5zWbbfPTnHLKKeaEE05IzLFtM9jo2JY05HVOSFpfVtOjxyvXchVI2WeffcxFF13k+tifZjuMMvq74oorjO1Iyg+GKlCl84CtdZ84X5oPOuO7FeSr0ccwW1M9WHXp1RWYKn2YYqRVj3u2mSJn6WxNa+f0YGLa3y+dfW4O8lvvq4Kf+h1hO6iMLULH7CuvvNKvaBH7MGGCaz9z7Y8JszMZgZIAAdASBSMIINARAdedSp2YojUIq60jGgB1XQBoGZWCBNXWkefn0RqsWpcuzitdpAb5UY3Z6GDbpjL2sRj/gj36Wd7vt9xyS6OaONEankEAVBc3d9xxRywbWdX+1IKbxTOv/TuG998JSTUA9bErABpdTl7fm0Y7RMtV6b1t860sAKCaULJS0FAXzgoU6jumdPpO1jqotl1HfyinWWeloKx+uEcH1XxKGtKUs7O3aWd+xzv6PUtyr3e6gpr2kday2YcOHeqs1aegQS1DZzjX+p05//zzjQJ5SYGFpPKqVlXRB/uop7G9jBsFh6ODniBRoKHSkNc5odI603xWLcA5bdq0NIsxtn1yo5rCt99+e9X0uqZ65JFH/L9zzz3X2A4nzc4771x1vqQEnfHdCvLS6GNY1jVAVY5WPe65jlO67rD9IQSbx/m6yCKLOKdHJ3b2uTman1reVwp+6rrkmmuuMbYzyVoW6ay1bZtLqWkZJEZAAgRA2Q8QQCATAdtmZCbLiQZAdaHqGmy7WDU9uupaRh7TXBejutOZpoaKK41rWh75di1TwRY9qnPZZZeVfWzbKzX6MWV7UzWui49f/epXZek78qZZPPPav5NsXOUO0qYJauX1vWm0Q1DmNK+HHHJIxRrnaZZRKY2r9kGl9PV+libAHV52pX0lnC5pvLO3qSv/jTpmutYdOKX5ngVps3rdYIMN/HNFOCikAGg08K2AnwL5tQyusubtnPY7o0e7VRPvhhtuSCySAgv9+vXzbybqJlx46IxtFV5/I8Z1M/T11193rurFF1/0g6OVmhvI65zgzFANE6NPL0RnVS3oNIO+E2oCYMUVVzS2YxRjO9FKM5vfZNEuu+ziB04rPbpcaWGd8d0K8uNad/BZHt8L1/bq6HVqqx73XL46lilo73paI9guSc1UBJ8Hr519bg7yUeurgp+//e1vnTU/dS6znWbVdcPB5VbJudZ8k759BAiAts+2pqQI5CrgquHYp08f8/Of/7ym9UYfHdEyXIPt9MPYnsZdH3XqtIUXXji2fl0QqR1TVw3PcGLX3WQ9Th798RueJ+9x1eaMBkC1Tv0AjQarNd12wmCWWmopjWYyNItnXvu3C0kX1R39QZHX96aRDi6bzpxWqWZmlvmqddvXmj6a187epp31Hc/iexa17Oh7tYWmplDCbT8ruBWt4bjqqqua7t2717S6znBO+51R4E7t8UYH1WxUW9Sq7Wo74PNvej766KP++SecNuoT/qwI4wpeqobnt99+m1gc2zmef/5Nejomr3NCYoZSfpAUmA1mTxsAVXrV0D/ppJPMMcccY+655x4zZMgQ8+CDD5o0j8naTlqM7Wis5u+V1tsZ3y2ttzOOYardGH3kX7VC1ZZnvUOrHveSrnVVMaBSLU9XvwYuu84+N7vyVG2aAuQKft50002xpOrXYvDgwUZPl9UzfP7557HZ0rYfGpuRCW0tQAC0rTc/hUcgOwFX21N6fFp34jsyJF20q/ahfhwlDba3Zr9jEP2YVKci6qAgzRCueZMmfTRN0kWP2p6qFgBVmuigjqI6c1hnnXX8x4qjF7y6uIk+Gq98Zvn4u5bXLJ557d8qYx5DXt+bVnPI0tZV+yDL5XfWsjp7mzbLd7yz/KPr1eOg4QCozkmqURMelKbWoTOc03xn1NFTNPipoL4ekdxrr71ixYy2haoERQ+A6nrG9eh7GEfnY3U2oo6iXDdF8jonhPNQbdyVr2inbNFl6GZ3rYMCoQqq60/fn5deeslvT1btyqrjRlfHKQqu2N7k/SBorevrjO9WrXnMKr0CndHrQQVA07RzXykPrXjc6927t7NIY8eOTbx21QzqSDTN0Nnn5jR5jKbRscoV/FR75Pfdd59Zb731orOkfu+qERvtMC/1wkjY1gLFbzSnrTcvhUegcQKu4J56xqzUfpM6N1Ctx0pBR9UgcV1cunoUDEqrZZ522mnm4IMP9hu61wlSd+j16HZ4cP1oiv7QDKdPM65efF13wtXOVKVBwc/oj0Cl1+NcnTnoB4vrkXY9ihetVaGaqpU6vaqnHM3imdf+XY9Jmnny+t60mkMaq7RpXI+7pZ23mdN19jZtlu94s2yjNMHNWtv/VNk6wznNd+bhhx+O0evGmyv4qYSu4JUrsBZbaItOUCdY55xzTiz3ruCyajtefPHFsbSakNc5wbmyhImuJhH0hIyrZlewiNdeey0YrfqqILAC6tdee63f4ZFm0L6hm+WHHnqoX3NYPXcntU0fvvFQdWWhBJ3x3QqtvqGjrvYtXe2C1pqpVjzuqWKFqyZ+0v4lE9V41iPgaYbOPjenyWM4jQKcAwcODE/yx9Wsj27MdCT4qQW5jhPUAI1xMyGFAAHQFEgkQQCB6gKbbbZZrE3OqVOnGnVq4Br0I0bt/ugREnXisfrqq5s999zTDBs2LJZcP4aigzoDSLowPu+886LJ/YvgaG1K16PllR4xiy3UMUE/SlwBw8cffzyxfTM94qVeqaPBV7XtVG+bVI6s1T0pba3OLbbYwmR9MdIsnnnu33VvmCoz5vG9aUWHKkypPy5qkKWzt2mzfMdT7wg5Jwzaw0tajYKKtbb/qWV1hnOa74wCUtEhqV1DnSPVc3B0qHSjNZq2ld6rrXN1FBJtd1FBlyeeeMIPakbLc/TRRydeG+VxToiuv9L7pCdx1KyBa/jb3/5m1Ht9pUH7RHDtoeuPdddd1+8Rfv/993fOphvfavPT9di6a5pzIZGJnfHdimShYW9dFRKyCIC26nFPzT5Fh3/84x9+rePodL2/6qqrUtcA7exzsyv/SdP0WL+a6XBVaFEHZfpednRw3fzSE34MCNQsYHdUBgQQ6ESBESNGePaLG/uzP3A8e+Fb158NOjpLZGtUxNZjg1vOtJpYa3obxIst37b54tmLgbJ12EeevO222y6W1tZQ8OyFVFlavbEXwJ5t6DqW3v4I8OydVu/rr7/259HrKaecEksnX/ujILZczR+133333T0bBPVsb6KevZsZmyfNBPu4lWd/pMaWrXUdeeSRnr1Q8Bdjf7R5thasZ9tzc6a1PZMmrq7WbZO4oJQfrLbaas48hv3sYy8pl+Z59sebc3k2GBxbRp6eteQjj/37gQceiDlo36k0/P3vf4/NYx+Vis2S1/cmD4dY5itMSDpm3nzzzRXmqu2js88+O2ZsO2BJtZBa9in7gyG2Hh33kwbbzl8sve29OCm5Zx+JjaX/5S9/GUvf2ds0z++4Cpvn9yyGWWGCKx+2nbfYHPZmXWy7Bcfa/v37x9L37Nkzlt7WrIyly9O53u+MfToilnf7CLNnn9iI5d/2hB5LKxf7lEcsrSbU8l10LsAxMen406hrNpXX1nD0c2Zrezo9bI1Hz3UuzeOcUIuxDXY782vbc/dsm+IlbV0b2d7cPXuT2pl+wIABpbQaOfzww53prr/++rJ0wRv7tI0zvW1aKUhSek1bvjy/W8qM69iR1bVCqbApRmQaHIuCV9f1dXhRrrwX5bhnm03w7I2emIkNxvvHHxug9ylsTWdPv82SfhvI0tYODbP543mcm9Pu07HMVJjgujYJ9g97Y8GzgfOqf7bZkwpr8DzbdmjM2T7xV3EePkTAJaBIPQMCCHSiQNLFdHDiqOd1m222cZao1qBZreknTpzo6YeLK8+2AwPvsMMO82yNRk9BUVeaShdRxx9/vHMeLUcXFPoBmHRhMddcc3m2zaKYiX1sybnMoAz2sY3YPGknnHnmmc5lB+W2j8l7Wn7wPvpqa8R6umBKGmrdNknLSTtdF27RPIbf2/Z9PAW20w61XoDl5VlLPvLYv10/DLL8UZPH9yYPh7T7jdIlHTMJgMYV0wZAO3ubKud5fce17Ly/Z1pHmsGVD1cgICmgo2Pun/70p9iq0gZANWNezvUGQB955BHnuUXn7dNPP9278847vUsuucTTNUT4nBMeVwDCFfCr5fgeQ02YkHT8Ceen1nHXNZsCgK7l2I4lSzmzNUM9BV5d6Vz7iWbM+pxQq7GCs6786rxnH5H1dt11V891czo8TzQAqiCIrYXpXO7WW2/tnXXWWd7VV1/taR/VDSNX2ugyA+RaypfXd0t5cR07srxWCMpb7VXX0uFtoXHXTbXwclx5L8pxT+W0nf7ETAKjueee27O1RD37pFtimiCtKwCax7m5ln06vB2TxlVhxFVJJShX2lfd0Kk02A7eygz1O4oBgXoECIDWo8Y8CGQo0KiLaWW51qBZrem1Dvt4WtkJKu2JTxfx9nEvLcI5qHbnsssuW/OydaHrqgmjlRx11FFVl2cfuXDmp9pE/TCxDfBXXb7LZ/HFF/ds+6kVV1HPtqm4wCof6gLHPjqWWB7bfEGVJZR/XOsFWF6eteYj6/3b9cMgyx81eXxvtCWzdijfOyq/SzpmEgCNu6UNgGrOztymWn9e33EtO+/vmdaRZnDlwxUIsE28JB5rXU8m1BIAzcu53gCoakjZx18Ty+s6RwY3KcOfuWqM1np8T7MNk44/4bzUOh4NgOp8q1qt0eUoKBytpfjmm296tsmAWFqdr22HP7EiZX1OqNX4uuuui+U1Ws7gvYIqZ5xxRiy9K1ipgLErsBksq9KraqjZzpZiVppQS/ny+m4pH65jR5bXClpH2mGxxRYr2yY6/lQaXHkvynFP5dZTXbZ5hzKTSvvb5ptv7teGjKZxBUC1/KzPzbXs01p/tcG2+5m67NEyh99XCoDaPgdi69DNDQYE6hGgDVD7zWNAAIHsBPbbbz9jH9GNtQdaaQ3q0EENZKst0KTB1ho1I0eO9Ds2StOumJaj5am9nU033dS5WLU5an9IOT8LJtq7r8FoTa/Ko70gN2r7Rg2Apx323Xdf8/LLL/sdVqSdpxHp7J3Xir2jpm0ntN68NotnXvt3vS7V5svje6N1tppDNSc+7/xt2izf8WbYF5Law7MBng53JNFszmqT8YYbbnB2HhjdFjbQYtTRj6uzvVtuuSWavCXf2x9zfm/u6tAnOqh9cxmEh6WXXtrv9DE8TeM2GOe3qx7tOCSvc0J0/Unvdd2ltgKrDbbmnHnooYeMbZaoWlL/c7WXrn1AnT3VMvTt29fYWsZmwQUXrGU2Z9pm+245M5nBRB2fwoOuk6u11RpOnzTeqse9RRdd1Dz//PN+XwZJZQumq7OnwYMHG1cfBEGa6GuzX2/9+9//jmY58/e2iYnYMtVGKgMC9QgQAK1HjXkQQKCigG0Lxm+EXxe6uohNGtZYYw0/SDh06NBUF626sL300kv9i2J1mmRrBzgXrQt8+/iXsY/q+D8AnInsRPXc+eyzzxr9gIgOujhRp0n6EVHvoIth236PUc+itrapszd7LVuBWnVOoB4UFbB19ZRabx6ynC8pyKng6MYbb5zlqpzLahbPvPZvZ6EzmJj19ybIUqs5BPnmNVmgs7dps3zHk4Ua84k6i4l22qc123ZojW1upMOZaDZnW6PM77X7wAMPNAqIRgedE21tZv9camtPGft0RTSJ37OygoetPugaR0He6KBy6wapa/jDH/5gdD0VHdQxySGHHBKd7F9vZXktFVtBlQmDBg0ytlkDo8BRdND2V6dGCqrYmp7Rjyu+136hYNw555wTCxRHZ1QP27Y2qr9P6Xoyq6HZvltZlSu8nO233z781h9P6sgqlrDChFY+7tknt8zTTz9tbFNfxtXZl/b1v/71r8Y2+VGxskcST2efm5PypWOu7csg6ePMpqsj2fCg32iuDmfDaRhHIEmgi6qNJn3IdAQQQKCjArYdS7/mpi5K7SMM/oW37bDFLLHEEkY/ejoyqPfPt956y7+AnTJlitFy9acLkVruruowOHbsWL/XRvVcv/LKKxv1LJgUYK03zwqm2kfbjX6U2MfY/BovWtdSSy3l91Jf73Lbdb5m8Mxz/85ru2b1vQnnrxUdwvlnPC7QDNu0Gb7jcZniTWkmZ53L33jjDTNmzBj/6QkFfXv37s05MsfdLo9zQprsar9T8MS24WnU471qt9oOFxNvFqdZZpBGy7YdK/nXWrre+vTTT/2e33Xtqb9KN+eDZWTx2kzfrSzKo2Xo3KCAnu3UqrRI1dS1HWGW3rfCSJ7bRr9Nhg0b5lv16dPHrLXWWs6bO/U4NcO5uZ58d2QenQdUyzYYFIQfMmRI8JZXBGoSIABaExeJEUAAAQQQQAABBBBAAAEEEGhPAduZlrGdPpUK36NHj7KAaOkDRhDooIAC7badXvVbU1qSbSfb7LDDDqX3jCBQi0D8OZNa5iYtAggggAACCCCAAAIIIIAAAgi0hcD+++9fVqPxo48+8p/GaovCU8iGCqiPiHDw03YQZ2wHSA3NAysrlgAB0GJtT0qDAAIIIIAAAggggAACCCCAQC4CakZgyy23LFu22nZlQCBrgWjTCmrXuFoHtlnngeUVS4BH4Iu1PSkNAggggAACCCCAAAIIIIAAArkJqGdutdmqtjQ16DF4tbdaSxv8uWWOBRdCQO0Dqw3ooAaoOl1V+6rq3JMBgXoFqAFarxzzIYAAAggggAACCCCAAAIIINBmAurEc9999y2VWo/B33777aX3jCDQUYHLLrusFPzUsgYOHEjws6OozG+oAcpOgAACCCCAAAIIIIAAAggggAACqQU+/vhjs/TSS5upU6f68/Tv398MHz489fwkRCBJ4MsvvzQ9e/Ys7VurrLKKGTVqVFnbs0nzMh2BSgLUAK2kw2cIIIAAAggggAACCCCAAAIIIFAmsMACC5gTTjihNG3EiBHm6aefLr1nBIF6Ba666qpS8FPLOO+88wh+1ovJfGUC1AAt4+ANAggggAACCCCAAAIIIIAAAghUE/jpp5/MlClTSsnUPmO3bt1K7xlBoB4B1SqeNm2aP2uXLl2Men9nQCALAQKgWSiyDAQQQAABBBBAAAEEEEAAAQQQQAABBBBoSgEegW/KzUKmEEAAAQQQQAABBBBAAAEEEEAAAQQQQCALAQKgWSiyDAQQQAABBBBAAAEEEEAAAQQQQAABBBBoSgECoE25WcgUAggggAACCCCAAAIIIIAAAggggAACCGQhQAA0C0WWgQACCCCAAAIIIIAAAggggAACCCCAAAJNKUAAtCk3C5lCAAEEEEAAAQQQQAABBBBAAAEEEEAAgSwEZsxiISwDAQRaQ+CZZ54x66+/vpl77rnNp59+mmmmx44da8466ywzatQoo/GePXuaddZZx6y77rpm1113NbPNNlum62NhjRf46aefzHXXXWduuukm89Zbb5mpU6eaNdZYw9/GW221lVl99dUzydTdd99t7r333lTLmnXWWc3555+fKi2JOk+gUfuOStjIdXWeKGtuxDln+vTp5tBDDzV6TTPoXLfxxhunSUqaFhD4+c9/bh544AFz8cUX+/tBVlluxL6bVV5ZTnYCeVyDc72U3fZp9iVNnjzZv97V7yxdg3/44YemV69eZplllvF/2x1yyCFm5plnzqQYHKMyYWQhzSrgMSCAQFsIfPbZZ16fPn08eyzy5p133kzLfO6553ozzTSTv2wtP/q39tpre1o/Q+sKTJw40VthhRVi2zbY1jPOOKM3aNCgTAq42267Ja4nWF/wOtdcc2WyThaSn0Aj951Gris/MZZcTaBR55zXX3899bFIx6QLLrigWtb5vEUELr300tK2twHQzHLdqH03swyzoEwE8roG53opk83T9Au58MILve7du5eOScE1cPjVBkK9xx57rMNl4RjVYUIW0OQC1AC1Rw4GBIouoJp6W2yxhXnzzTczL+q1115r/vSnP/nL/dnPfmbsxZixAU8zYcIEc88995iXXnrJPPvss2aDDTYwDz/8sOnRo0fmeWCB+Qpo/1ENz1deecVf0SqrrGK23XZbs8gii5gnn3zS3HHHHebbb781e+yxh/niiy+M7kJ3ZHjhhRc6MjvzNpFAI/edRq6riYjbLiuNPOdwLGq73csv8D//+U9z2GGHZV74Ru67mWeeBdYtkOc1OMeoujdLy8x44403mt///vel/Kpmup7mW3jhhc3bb79t/vWvf5nXXnvNjBkzxr9WHzlypFluueVK6WsZ4RhVixZpW1agyQO0ZA8BBDooYB+58fr27Vt21zCrGqAff/yx161bN3/Zqon3+OOPl+V22rRp3u67715a98EHH1z2OW9aQ+CPf/xjaRvaRzy977//vizjTz31lKftb0+EnmqCvv/++2Wf1/Lmq6++8rp27eova9NNN/XsIz4V/z766KNaFk/aBgs0ct9p5LoazMjq/ivQ6HPOUUcdVTr22UehKx6LdKz6+uuv2VYtLPDNN9949oauN8MMM5S2u85rWdQAbfS+28KboVBZz/ManOulQu0qzsK888473hxzzOEfj/Skna1wEEun31r2hk3pmGUrKXiaVuvAMapWMdK3qoBp1YyTbwQQqCygCyN7x7AUTNJFfPCXVQD0uOOOKy3z8ssvd2bItsfn9e/f3083++yze/ZOuDMdE5tTwLY55Gm7ad9ZbLHFYsHPINe2HarSvnDyyScHk2t+1Y+FYD894YQTap6fGZpHoJH7TiPX1TzC7ZeTRp9zNt98c/94pBs7tpZ7+4G3UYmfeOIJb+mlly6df4LzkF6zCIA2et9to03XlEVtxDU410tNuekzzdSZZ55ZOibpGJI0/Pjjj6XfWjpmPffcc0lJE6dzjEqk4YOCCdALvD1KMCBQNIFhw4aZFVdc0dg2Y/zOG2yNOmNPbGbBBRfMtKjXXHONvzx7d9LsvffezmVr3UceeaT/mb0gNDfccIMzHRObU+C2224z2m4aDjzwwMQG1rfZZhu/IXalu+KKK8wPP/yg0ZqHF198sTRPv379SuOMtJ5AI/edRq6r9bZEcXLc6HNOcDxafvnljZp4YSiegP1d5zfbsuGGG/odi6iEyy67bOaPwDd63y3elmqdEjXqGjw4PkmG66XW2T9qyam9MVNK/rvf/a40Hh2xtdbNTjvtVJr8/PPPl8bTjnCMSitFulYXIADa6luQ/CPgEFDbm+PGjfM/URsxQ4cONQMHDjS2Fos/rUuXLo65aps0fvx4M2nSJH8mte9ZqefBTTbZxATrVFs2DK0joPZbg8HWhgpGna/2kXV/unqmtA2xO9NUmxhuz4oL+mpazf15I/edRq6rudWLm7tGn3M++OADYx8J9EE5FhV3v5o+fbr529/+pifi/ELuu+++Rr0sr7zyyqVCB9cvpQk1jjR6360xeyTPWKAR1+DKMtdLGW+4JlycKq6stdZafgUD+xRWxRwutNBCpc9th5Cl8TQjHKPSKJGmKAIEQIuyJSkHAhEB+5i7H/S0vdiajTbaKPJpx9/axytKC1GnOJWG+eef3wQn5qAjnUrp+ax5BILtrJq8K620UsWMhX8w1rudgxoNCyywgFl00UX99ek2Zh5mAABAAElEQVSH6bvvvmvsY84V18+HzSXQyH2nketqLuX2yU2wjVXiRpxzgmOR1rf66qvrxR9UI37s2LHGNu8STOK1AAK6wff000+bq666ysw666yZlqjR+26mmWdhdQnkfQ2uTAXHKK6X6tpELTHTdddd53ck+8Ybb5QqkiRlXJ3OBkO16/UgXfDKMSqQ4LUdBAiAtsNWpoxtJ2A7qjG6m6fH3uecc85cyv/WW2+VlturV6/SeNJIcOfyyy+/NKpZw9AaAuphUoN6fLcNsFfMdLCNlUgXa7UOCiiMHj3an001rmz7VmbLLbc0amJhiSWWMPPNN5/ROnbZZRc/AFHr8knfWIFG7juNXFdjFVlbINDoc04QXND6+/Tp499Q1LlO59TevXsb2zayWWONNYxtH7JUezDIK6+tI6Cbe/rx/+CDD5p11103l4w3et/NpRAsNLVAI67BuV5KvTnaIqF+W4WfsNO5qZaBY1QtWqRtdQECoK2+Bck/Ag4Btf+pH2d5DrYzo9Lie/ToURpPGlEt0GD47LPPglFem1jA9mhcquXUiG08ZswY89133/kiqomjH6P6Uap8BMOECRPM7bff7j+eqMcWGZpToJH7TiPX1Zza7ZGrRp9zwgHQHXfc0dhO2fwbi8Gj0jpWjRgxwhx++OFm44039mupt8eWKFYp9Xj7mmuumWuhGr3v5loYFl5VoBHX4FwvVd0MbZXg9NNPNx999JFf5i222MKkqZgSBuIYFdZgvOgC/2kQsOilpHwIIJC5wBdffFFaZrdu3UrjSSPhNN98801SMqY3kUCjt3G4PSvdzZ5tttmM2pdV5xRqB0mP1Q8ePNiv/amg1yGHHGLmnntu88tf/rKJ1MiKBBq57zRyXWzdzhNo9HYOH4/041Ad4yjQufbaa/ttgw4fPtzceuutfu3Pxx9/3KgjOLUdWak97M7TY82dKdDofbczy8q6GyMQPj5xvdQY82Zdix6TP/fcc/3s6QmFK6+8suascoyqmYwZWliAAGgLbzyyjkBnCuiCKxjS9I47yyyzBMkNAdASRVOPNHobh2tc6ZH7hx56yCy33HJlRieffLI54ogjShd4qn2lzpfCNYzLZuBNpwg0ct9p5Lo6BZOV+gKN3M5al9r5DIYjjzzS/OUvf4m1waabMHrcVR0C6gbNmWeeaU455ZRgNl4R8AUaue9C3h4CXC+1x3auVsq7777b7L///qVkF1xwQan9/NLEFCMco1IgkaQwAjwCX5hNSUEQaKxAuD3IH3/8serKw2nSBEyrLpAEuQs0ehsfcMAB/uPtupOtR+CjwU8VWJ1TXHbZZWbVVVf1y//pp58aXfAxNJdAI/edRq6ruZTbKzeN3M6qxTl06FC/Q5zrr7/enHfeebHgp/TXX399vwfxYEsoAKpOkhgQCAs0ct8Nr5fx4gpwvVTcbZu2ZKr5udNOO5ng99WJJ55o9tlnn7Szl6XjGFXGwZuCC1ADtOAbmOK1vsAtt9xiBg0aVLEgl19+uenZs2fFNFl/GG5jNGi3sdI6wmnmmmuuSkn5LGeB7bffvtS2p2tVAwYMMEcddVRZO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" width="672" /></p>
<pre class="r"><code># Robustness Checks

## Morals P-value under the sharp null hypothesis

set.seed(103648)
morals_Z &lt;- plac_age_cond$Condition #treatment vector
morals_Y &lt;- plac_age_cond$MoralScore #outcome vector
morals_probs &lt;- genprobexact(Z = morals_Z)
morals_ate &lt;- estate(Y = morals_Y, Z = morals_Z, prob = morals_probs)
morals_ate #0.1035451</code></pre>
<p>[1] 0.1035451</p>
<pre class="r"><code>morals_perms &lt;- genperms(morals_Z, maxiter = 10000) #enumerate all possible ways of random assignment</code></pre>
<p>Too many permutations to use exact method. Defaulting to approximate method. Increase maxiter to at least 9.58345958376068e+213 to perform exact estimation.</p>
<pre class="r"><code>morals_Ys &lt;- genouts(Y = morals_Y, Z = morals_Z, ate = 0) #generate full schedule of potential outcomes under exact H0, (ITT/ATE = 0)
morals_distout &lt;- gendist(morals_Ys, morals_perms, prob=morals_probs) # generate randomization distribution 
morals_dist &lt;- dispdist(morals_distout, morals_ate)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>morals_abs_p &lt;- mean(abs(morals_distout) &gt;= abs(morals_ate)) #two-tailed test
morals_abs_p #0.3488 p-value under sharp null hypothesis, insignificant</code></pre>
<p>[1] 0.3488</p>
<pre class="r"><code>## CACE for Placebo-age Group

plac_age_cond &lt;- plac_age_cond %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))

cace_iv_morals &lt;- ivreg(MoralScore ~ followup_ittd, ~Condition, data = plac_age_cond)
stargazer(cace_iv_morals, type = &#39;html&#39;, title = &quot;Table OA.13: CACE of Prime on Moral Score&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.13: CACE of Prime on Moral Score</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
MoralScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
0.123
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.132)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.605<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.078)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.011
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.010
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.479 (df = 714)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check of Duration - ATE and CACE when taking away answers that are really fast (&lt;=200s) or really slow (&gt;=1200s)

plac_age_cond_duration &lt;- plac_age_cond %&gt;%
  filter(duration &gt; 200) %&gt;%
  filter(duration &lt; 1200)
nrow(plac_age_cond_duration)</code></pre>
<p>[1] 577</p>
<pre class="r"><code>min(plac_age_cond_duration$duration)</code></pre>
<p>[1] 201</p>
<pre class="r"><code>max(plac_age_cond_duration$duration)</code></pre>
<p>[1] 1178</p>
<pre class="r"><code>morals_m1_dur &lt;- lm(MoralScore ~ Condition, data = plac_age_cond_duration) # just Condition IV

morals_m2_dur &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond_duration) # Condition and covariates

morals_m3_dur &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = plac_age_cond_duration) # Condition, covariates, and Combatant interaction

morals_m4_dur &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = plac_age_cond_duration) # Condition, covariates, and CombExp interaction

morals_m5_dur &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = plac_age_cond_duration) # Condition, covariates, and ConflZone interaction

morals_m6_dur &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = plac_age_cond_duration) # Condition, covariates, and IHLScore interaction

morals_m7_dur &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = plac_age_cond_duration) # Condition, covariates, and NatID interaction

morals_m8_dur &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = plac_age_cond_duration) # Condition, covariates, and PolID interaction

stargazer(morals_m1_dur, morals_m2_dur, morals_m3_dur, morals_m4_dur, morals_m5_dur, morals_m6_dur, morals_m7_dur, morals_m8_dur, align = T, dep.var.labels = &quot;Morals Score&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.14: Effect of Violence Prime on Morals Score, Time-Limited&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.14: Effect of Violence Prime on Morals Score, Time-Limited</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Morals Score
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.65<sup>***</sup> (0.09)
</td>
<td>
4.73<sup>***</sup> (0.52)
</td>
<td>
4.74<sup>***</sup> (0.52)
</td>
<td>
4.75<sup>***</sup> (0.52)
</td>
<td>
4.78<sup>***</sup> (0.52)
</td>
<td>
4.79<sup>***</sup> (0.55)
</td>
<td>
4.71<sup>***</sup> (0.54)
</td>
<td>
4.69<sup>***</sup> (0.53)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
0.10 (0.12)
</td>
<td>
0.10 (0.11)
</td>
<td>
0.01 (0.12)
</td>
<td>
0.06 (0.12)
</td>
<td>
0.01 (0.12)
</td>
<td>
-0.06 (0.40)
</td>
<td>
0.13 (0.41)
</td>
<td>
0.17 (0.27)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
0.20 (0.34)
</td>
<td>
0.21 (0.34)
</td>
<td>
0.18 (0.34)
</td>
<td>
0.18 (0.34)
</td>
<td>
0.20 (0.34)
</td>
<td>
0.19 (0.34)
</td>
<td>
0.20 (0.34)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
<td>
-0.28<sup>***</sup> (0.07)
</td>
<td>
-0.29<sup>***</sup> (0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
0.01 (0.11)
</td>
<td>
0.001 (0.11)
</td>
<td>
0.01 (0.11)
</td>
<td>
0.004 (0.11)
</td>
<td>
0.01 (0.11)
</td>
<td>
0.01 (0.11)
</td>
<td>
0.01 (0.11)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
-0.12 (0.12)
</td>
<td>
-0.13 (0.12)
</td>
<td>
-0.13 (0.12)
</td>
<td>
-0.13 (0.12)
</td>
<td>
-0.13 (0.12)
</td>
<td>
-0.12 (0.12)
</td>
<td>
-0.12 (0.12)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
-0.17<sup>***</sup> (0.05)
</td>
<td>
-0.17<sup>***</sup> (0.05)
</td>
<td>
-0.17<sup>***</sup> (0.05)
</td>
<td>
-0.17<sup>***</sup> (0.05)
</td>
<td>
-0.17<sup>***</sup> (0.05)
</td>
<td>
-0.17<sup>***</sup> (0.05)
</td>
<td>
-0.16<sup>**</sup> (0.07)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
-0.29 (0.25)
</td>
<td>
-0.60<sup>**</sup> (0.30)
</td>
<td>
-0.27 (0.25)
</td>
<td>
-0.29 (0.25)
</td>
<td>
-0.28 (0.25)
</td>
<td>
-0.29 (0.25)
</td>
<td>
-0.29 (0.25)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
-0.53<sup>**</sup> (0.26)
</td>
<td>
-0.48<sup>*</sup> (0.26)
</td>
<td>
-0.65<sup>**</sup> (0.31)
</td>
<td>
-0.51<sup>**</sup> (0.26)
</td>
<td>
-0.54<sup>**</sup> (0.26)
</td>
<td>
-0.53<sup>**</sup> (0.26)
</td>
<td>
-0.53<sup>**</sup> (0.26)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
-0.46<sup>**</sup> (0.20)
</td>
<td>
-0.46<sup>**</sup> (0.20)
</td>
<td>
-0.46<sup>**</sup> (0.20)
</td>
<td>
-0.75<sup>***</sup> (0.25)
</td>
<td>
-0.46<sup>**</sup> (0.20)
</td>
<td>
-0.46<sup>**</sup> (0.20)
</td>
<td>
-0.46<sup>**</sup> (0.20)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
1.78<sup>***</sup> (0.34)
</td>
<td>
1.78<sup>***</sup> (0.34)
</td>
<td>
1.77<sup>***</sup> (0.34)
</td>
<td>
1.78<sup>***</sup> (0.34)
</td>
<td>
1.66<sup>***</sup> (0.45)
</td>
<td>
1.78<sup>***</sup> (0.34)
</td>
<td>
1.78<sup>***</sup> (0.34)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
0.58<sup>*</sup> (0.30)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.23 (0.31)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.60<sup>**</sup> (0.30)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.26 (0.66)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.01 (0.10)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.02 (0.09)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.29
</td>
<td>
0.29
</td>
<td>
0.29
</td>
<td>
0.29
</td>
<td>
0.29
</td>
<td>
0.29
</td>
<td>
0.29
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
-0.001
</td>
<td>
0.27
</td>
<td>
0.28
</td>
<td>
0.27
</td>
<td>
0.28
</td>
<td>
0.27
</td>
<td>
0.27
</td>
<td>
0.27
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.50 (df = 575)
</td>
<td>
1.28 (df = 564)
</td>
<td>
1.27 (df = 563)
</td>
<td>
1.28 (df = 563)
</td>
<td>
1.27 (df = 563)
</td>
<td>
1.28 (df = 563)
</td>
<td>
1.28 (df = 563)
</td>
<td>
1.28 (df = 563)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
0.67 (df = 1; 575)
</td>
<td>
19.14<sup>***</sup> (df = 12; 564)
</td>
<td>
18.02<sup>***</sup> (df = 13; 563)
</td>
<td>
17.69<sup>***</sup> (df = 13; 563)
</td>
<td>
18.06<sup>***</sup> (df = 13; 563)
</td>
<td>
17.65<sup>***</sup> (df = 13; 563)
</td>
<td>
17.64<sup>***</sup> (df = 13; 563)
</td>
<td>
17.64<sup>***</sup> (df = 13; 563)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>coefplot(morals_m2_dur, main = &quot;Figure OA.5: Effect of Violence Prime on Morals Score, Time-Limited&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>plac_age_cond_duration &lt;- plac_age_cond_duration %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))
cace_iv_morals_dur &lt;- ivreg(MoralScore ~ followup_ittd, ~Condition, data = plac_age_cond_duration)
stargazer(cace_iv_morals_dur, type = &#39;html&#39;, title = &quot;Table OA.15: CACE of Prime on Morals Score, Time-Limited&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.15: CACE of Prime on Morals Score, Time-Limited</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
MoralScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
0.115
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.140)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.649<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.089)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
577
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.009
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.007
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.494 (df = 575)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check for Non-naivete

morals_followup &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + followup2_1, data = plac_age_cond) # Condition and covariates, plus non-naivete question
stargazer(morals_followup, type = &#39;html&#39;, title = &quot;Table OA.16: Robustness Check for Non-naivete on Moral Score&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.16: Robustness Check for Non-naivete on Moral Score</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
MoralScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
0.090
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.095)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
0.017<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.004)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
-0.006
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.307)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
-0.289<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.047)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
-0.025
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.097)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
-0.081
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.102)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
-0.045
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.037)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
-0.208<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.041)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
0.027
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.217)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
-0.550<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.224)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
-0.377<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.168)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
1.522<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.304)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
followup2_1
</td>
<td>
-0.680<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.179)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
5.199<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.458)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.299
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.286
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.256 (df = 702)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
22.981<sup>***</sup> (df = 13; 702)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Mediation Effects - No significant mediation effects

### Mediation of effect of Condition (X) on Morals Score (Y) by Emotions Score (M), Without Time Limit
med.fit.morals &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond)
out.fit.morals &lt;- lm(MoralScore ~ EmotionScore + Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond)
med.out.morals &lt;- mediate(med.fit.morals, out.fit.morals, treat = &quot;Condition&quot;, mediator = &quot;EmotionScore&quot;, robustSE = T, sims = 1000)
summary(med.out.morals) # no significant mediation effects (ACME)</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value</code></pre>
<p>ACME 0.0109 -0.0048 0.04 0.19 ADE 0.0624 -0.1257 0.25 0.51 Total Effect 0.0733 -0.1184 0.26 0.45 Prop. Mediated 0.0596 -1.1284 1.19 0.55</p>
<p>Sample Size Used: 716</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.morals, main = &quot;Figure OA.6: ACME of EmotionScore on MoralScore&quot;) # plot the mediation effects</code></pre>
<p><img 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" 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<pre class="r"><code>### Mediation of effect of Condition (X) on Morals Score (Y) by Emotions Score (M), With Time Limit
med.fit.morals.dur &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond_duration)
out.fit.morals.dur &lt;- lm(MoralScore ~ EmotionScore + Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond_duration)
med.out.morals.dur &lt;- mediate(med.fit.morals.dur, out.fit.morals.dur, treat = &quot;Condition&quot;, mediator = &quot;EmotionScore&quot;, robustSE = T, sims = 1000)
summary(med.out.morals.dur) # no significant mediation effects</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value</code></pre>
<p>ACME 0.01191 -0.00592 0.04 0.25 ADE 0.08449 -0.13963 0.31 0.45 Total Effect 0.09639 -0.12490 0.32 0.39 Prop. Mediated 0.05297 -1.20497 1.13 0.54</p>
<p>Sample Size Used: 577</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.morals.dur, main = &quot;Figure OA.7: ACME of EmotionScore, Time-Limited&quot;)</code></pre>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAYAAAD0ZtPZAAAEDmlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPpu5syskzoPUpqaSDv41lLRsUtGE2uj+ZbNt3CyTbLRBkMns3Z1pJjPj/KRpKT4UQRDBqOCT4P9bwSchaqvtiy2itFCiBIMo+ND6R6HSFwnruTOzu5O4a73L3PnmnO9+595z7t4LkLgsW5beJQIsGq4t5dPis8fmxMQ6dMF90A190C0rjpUqlSYBG+PCv9rt7yDG3tf2t/f/Z+uuUEcBiN2F2Kw4yiLiZQD+FcWyXYAEQfvICddi+AnEO2ycIOISw7UAVxieD/Cyz5mRMohfRSwoqoz+xNuIB+cj9loEB3Pw2448NaitKSLLRck2q5pOI9O9g/t/tkXda8Tbg0+PszB9FN8DuPaXKnKW4YcQn1Xk3HSIry5ps8UQ/2W5aQnxIwBdu7yFcgrxPsRjVXu8HOh0qao30cArp9SZZxDfg3h1wTzKxu5E/LUxX5wKdX5SnAzmDx4A4OIqLbB69yMesE1pKojLjVdoNsfyiPi45hZmAn3uLWdpOtfQOaVmikEs7ovj8hFWpz7EV6mel0L9Xy23FMYlPYZenAx0yDB1/PX6dledmQjikjkXCxqMJS9WtfFCyH9XtSekEF+2dH+P4tzITduTygGfv58a5VCTH5PtXD7EFZiNyUDBhHnsFTBgE0SQIA9pfFtgo6cKGuhooeilaKH41eDs38Ip+f4At1Rq/sjr6NEwQqb/I/DQqsLvaFUjvAx+eWirddAJZnAj1DFJL0mSg/gcIpPkMBkhoyCSJ8lTZIxk0TpKDjXHliJzZPO50dR5ASNSnzeLvIvod0HG/mdkmOC0z8VKnzcQ2M/Yz2vKldduXjp9bleLu0ZWn7vWc+l0JGcaai10yNrUnXLP/8Jf59ewX+c3Wgz+B34Df+vbVrc16zTMVgp9um9bxEfzPU5kPqUtVWxhs6OiWTVW+gIfywB9uXi7CGcGW/zk98k/kmvJ95IfJn/j3uQ+4c5zn3Kfcd+AyF3gLnJfcl9xH3OfR2rUee80a+6vo7EK5mmXUdyfQlrYLTwoZIU9wsPCZEtP6BWGhAlhL3p2N6sTjRdduwbHsG9kq32sgBepc+xurLPW4T9URpYGJ3ym4+8zA05u44QjST8ZIoVtu3qE7fWmdn5LPdqvgcZz8Ww8BWJ8X3w0PhQ/wnCDGd+LvlHs8dRy6bLLDuKMaZ20tZrqisPJ5ONiCq8yKhYM5cCgKOu66Lsc0aYOtZdo5QCwezI4wm9J/v0X23mlZXOfBjj8Jzv3WrY5D+CsA9D7aMs2gGfjve8ArD6mePZSeCfEYt8CONWDw8FXTxrPqx/r9Vt4biXeANh8vV7/+/16ffMD1N8AuKD/A/8leAvFY9bLAAAAOGVYSWZNTQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAAVAoAMABAAAAAEAAAPAAAAAALYRw1EAAEAASURBVHgB7N0J3G3V3DjwVV2VIaRSCFESSShxhYwNhvctkqEMZQwZ4k/hapCISGWmpLqF0Bt5e82ESEJXyVi9leJqMNyI6Pnv32Y/73n22Wd8znnOPvv5rs/n3nPOPmvvvdZ37ecMv7OG1WaylCQCBAgQIECAAAECBAgQIECAAAECBAg0UGD1BtZJlQgQIECAAAECBAgQIECAAAECBAgQIJALCIC6EAgQIECAAAECBAgQIECAAAECBAgQaKyAAGhjm1bFCBAgQIAAAQIECBAgQIAAAQIECBAQAHUNECBAgAABAgQIECBAgAABAgQIECDQWAEB0MY2rYoRIECAAAECBAgQIECAAAECBAgQICAA6hogQIAAAQIECBAgQIAAAQIECBAgQKCxAgKgjW1aFSNAgAABAgQIECBAgAABAgQIECBAQADUNUCAAAECBAgQIECAAAECBAgQIECAQGMFBEAb27QqRoAAAQIECBAgQIAAAQIECBAgQICAAKhrgAABAgQIECBAgAABAgQIECBAgACBxgoIgDa2aVWMAAECBAgQIECAAAECBAgQIECAAAEBUNcAAQIECBAgQIAAAQIECBAgQIAAAQKNFRAAbWzTqhgBAgQIECBAgAABAgQIECBAgAABAgKgrgECBAgQIECAAAECBAgQIECAAAECBBorIADa2KZVMQIECBAgQIAAAQIECBAgQIAAAQIEBEBdAwQIECBAgAABAgQIECBAgAABAgQINFZAALSxTatiBAgQIECAAAECBAgQIECAAAECBAgIgLoGCBAgQIAAAQIECBAgQIAAAQIECBBorIAAaGObVsUIECBAgAABAgQIECBAgAABAgQIEBAAdQ0QIECAAAECBAgQIECAAAECBAgQINBYAQHQxjatihEgQIAAAQIECBAgQIAAAQIECBAgIADqGiBAgAABAgQIECBAgAABAgQIECBAoLECAqCNbVoVI0CAAAECBAgQIECAAAECBAgQIEBAANQ1QIAAAQIECBAgQIAAAQIECBAgQIBAYwUEQBvbtCpGgAABAgQIECBAgAABAgQIECBAgIAAqGuAAAECBAgQIECAAAECBAgQIECAAIHGCgiANrZpVYwAAQIECBAgQIAAAQIECBAgQIAAAQFQ1wABAgQIECBAgAABAgQIECBAgAABAo0VEABtbNOqGAECBAgQIECAAAECBAgQIECAAAECAqCuAQIECBAgQIAAAQIECBAgQIAAAQIEGisgANrYplUxAgQIECBAgAABAgQIECBAgAABAgQEQF0DBAgQIECAAAECBAgQIECAAAECBAg0VkAAtLFNq2IECBAgQIAAAQIECBAgQIAAAQIECAiAugYIECBAgAABAgQIECBAgAABAgQIEGisgABoY5tWxQgQIECAAAECBAgQIECAAAECBAgQEAB1DRAgQIAAAQIECBAgQIAAAQIECBAg0FgBAdDGNq2KESBAgAABAgQIECBAgAABAgQIECAgAOoaIECAAAECBAgQIECAAAECBAgQIECgsQICoI1tWhUjQIAAAQIECBAgQIAAAQIECBAgQEAA1DVAgAABAgQIECBAgAABAgQIECBAgEBjBQRAG9u0KkaAAAECBAgQIECAAAECBAgQIECAgACoa4AAAQIECBAgQIAAAQIECBAgQIAAgcYKCIA2tmlVjAABAgQIECBAgAABAgQIECBAgAABAVDXAAECBAgQIECAAAECBAgQIECAAAECjRUQAG1s06oYAQIECBAgQIAAAQIECBAgQIAAAQICoK4BAgQIECBAgAABAgQIECBAgAABAgQaKyAA2timVTECBAgQIECAAAECBAgQIECAAAECBARAXQMECBAgQIAAAQIECBAgQIAAAQIECDRWQAC0sU2rYgQIECBAgAABAgQIECBAgAABAgQICIC6BggQIECAAAECBAgQIECAAAECBAgQaKyAAGhjm1bFCBAgQIAAAQIECBAgQIAAAQIECBAQAHUNECBAgAABAgQIECBAgAABAgQIECDQWAEB0MY2rYoRIECAAAECBAgQIECAAAECBAgQICAA6hogQIAAAQIECBAgQIAAAQIECBAgQKCxAgKgjW1aFSNAgAABAgQIECBAgAABAgQIECBAQADUNUCAAAECBAgQIECAAAECBAgQIECAQGMFBEAb27QqRoAAAQIECBAgQIAAAQIECBAgQICAAKhrgAABAgQIECBAgAABAgQIECBAgACBxgoIgDa2aVWMAAECBAgQIECAAAECBAgQIECAAAEBUNcAAQIECBAgQIAAAQIECBAgQIAAAQKNFRAAbWzTqhgBAgQIECBAgAABAgQIECBAgAABAgKgrgECBAgQIECAAAECBAgQIECAAAECBBorIADa2KZVMQIECBAgQIAAAQIECBAgQIAAAQIEBEBdAwQIECBAgAABAgQIECBAgAABAgQINFZAALSxTatiBAgQIECAAAECBAgQIECAAAECBAgIgLoGCBAgQIAAAQIECBAgQIAAAQIECBBorIAAaGObVsUIECBAgAABAgQIECBAgAABAgQIEBAAdQ0QIECAAAECBAgQIECAAAECBAgQINBYAQHQxjatihEgQIAAAQIECBAgQIAAAQIECBAgIADqGiBAgAABAgQIECBAgAABAgQIECBAoLECAqCNbVoVI0CAAAECBAgQIECAAAECBAgQIEBAANQ1QIAAAQIECBAgQIAAAQIECBAgQIBAYwUEQBvbtCpGgAABAgQIECBAgAABAgQIECBAgIAAqGuAAAECBAgQIECAAAECBAgQIECAAIHGCgiANrZpVYwAAQIECBAgQIAAAQIECBAgQIAAAQFQ1wABAgQIECBAgAABAgQIECBAgAABAo0VEABtbNOqGAECBAgQIECAAAECBAgQIECAAAECAqCuAQIECBAgQIAAAQIECBAgQIAAAQIEGisgANrYplUxAgQIECBAgAABAgQIECBAgAABAgQEQF0DBAgQIECAAAECBAgQIECAAAECBAg0VkAAtLFNq2IECBAgQIAAAQIECBAgQIAAAQIECAiAugYIECBAgAABAgQIECBAgAABAgQIEGisgABoY5tWxQgQIECAAAECBAgQIECAAAECBAgQWIKAAIHFIfD73/8+fehDHxpJZbfYYou0++67zznW5Zdfnk488cQ52+LBgQcemNZYY4227TbUS+Avf/lL+trXvpa+8IUvpJ///Odp5cqV+b/VVlstbbDBBvm/Bz/4wWnHHXdMD3/4w9Paa689kgr8+Mc/TmeeeWbbse5zn/ukpz71qW3bR7Uh6nvdddfN+3C3utWt0h3ucId5H2dUB1gozxtuuCF99atfTWeddVb6yU9+kl8r1157bbrLXe6S7nvf+6Zov7h9xCMekTbaaKO+qvfrX/86nXrqqV3zvvrVr063vvWtu+b54x//mI499tiuefbcc890j3vcY06eq6++Oh133HFzts33wYtf/OL8b2e+xxn3/tGeX/nKV9K5556b/7vooovytrz3ve+d4t/WW2+ddt11176LsZgt+0YaY8bF/H78q1/9Kn8fi9enq666KsVnn1WrVuXX8yabbJLiX/zt77bbbvn9MTaDQ49JYJSfZ1uL2Pq5YzH/DbWaDHP/n//8Z/rGN77Rtus973nPtvfdtkx9bJjGtpnGMvfRFHOy/O///m866aST5myLB294wxvS6qvrc9cGY8PkBGYkAgQWhcCFF144k73SjORfFphqM/vmN79Zeey//e1vbXltqI9A9kViZr/99pvJApqV7Vd1zay33nozRxxxxEwWNJl3RZ7ylKdUnvf2t7/9TBaknPfxOx3g4x//eOV5q+rbbdszn/nMTqeYyPZxe0abv+Utb5m57W1v25ffOuusM3PUUUfN/OMf/+jp8T//8z89j/nf//3fPY/z2c9+tudxvvzlL7cd57zzzuu5X7droeq5LDjcdp66bfjpT386s/nmm3etexbIHqjYi9VyIKQhM//1r3/N/wazAEPHIyzG9+Ms8DnzpCc9qet13Po3uuaaa868/OUvn8mC9R0dPVFPgXhdbW3LUd3PftifrfBi/Buarfw872Q/Qla2zyGHHDLPI/9r92lsm2HL3M/r/UhQR3CQeE+q+lu86aabRnB0hyAwOgHh+OwvVSJAgMBiFPjiF7+Y7nWve+W95W688ca+CaKn3+tf//qUBU3S97///b73K2f83e9+lz7/+c+XN+eP//CHP6TTTjut8jkbqwXG7fmjH/0o7w24bNmy9Kc//am6EKWtf/7zn1P02tx2223znoWlpwd+GL0Ue6Xo+SX1J/D3v/89783/i1/8ousOD3zgA7s+78mFEciC+3nv6vgbjF7s0r8Eoif6lltuWTmaoJNRXPvvfe9706abbpo+/elPd8pmOwECBCYi4PV+IuxOuggEBEAXQSOrIgECBMoCMV1B1lsmRaBx2PSb3/wm7bDDDulTn/rUUIeIMmS/DHfcd1RTNnQ8QcOeGKdnBBge+chHpiuvvHIotRiav/3221cOixvkgAKgg2j1zvvtb387ZT1Ae2Z80IMe1DOPDOMTyEZwpMc+9rH5tCCXXXbZ+E40hUf+wQ9+kJ72tKelbLTJUKWPQPI+++yTev0IMNTB7USAAIEBBbzeDwgmO4EBBcwBOiCY7AQIEJh2gZ/97Gcp5ibMhiV3rcpd73rXfN6emNenU4qeozGfYsz9GAGuQVKv+RbPOeecFB8E73e/+w1y2AXNe8tb3nJBz9ftZOPyjABZzPnbrcdZzMsZc+vFtRLz7VWlmBcsmzIgRU/SfucFLR8n5huNnq4bbrhh+an8cQTl4/qW+hP47ne/W5nxgAMOyINKS5YsSRFwe8hDHlKZz8aFEXjAAx6Q4u9HaheIHuYxh21V2myzzdLd7373tO6666aYlzbmt77mmmvaskZP9T322CN973vfG9n81m0nsYEAAQJ9CHi97wNJFgLzEBAAnQeeXQk0QeCwww5L2byBA1Ulm9evLX8Mh/7oRz/atj2+QEv1EYgv0c997nNTpyHvsTDES1/60hRDXrO5PvOCX3/99emCCy7IF9H6xCc+0VaZCKTGl8cIbN3xjndse75qQ/Q8iy+jvdKHP/zhdMwxx/TKNvDzsbDTQx/60L73i8U0YhL71rTxxhun+PupQxqXZzb/VN62VcHPbA69lM3plf7zP/8zHxpfTHIfAdODDz64cgqD3/72t+m1r31tOvnkk4diy2YAyhdfetaznlW5/ziGvx955JHpCU94QuX5em2MRR/qnKqCQbHY2dve9rbZYt///vefvT/fO022nK9Nt/0HDX4ulvfjCFjGa185RW/Zt7/97fnUG63PxbD3bP7nlM173dZjNN7joqd7vAdK9RaIqXu69VyPzyRVr1sveMEL0v7779+xctnc1rPPLZa/odkKT9GdaWybQco86Ov9FDWdohKoh8DophN1JAIE6izQaRGk448/vs7FVrYRC2QBu8pJyrOejDMf/OAHe57thBNOmLnNbW5TeYxXvOIVPfcvMmRB2MpjZO+Mc7aPezGkojzdbmMS+mx12Dnlyno8zmQB3267Lehz4/J897vfPafeRftkvT1nsvlfu9YxW4m9ct+11lprJhbfKqeqRZCqrrW99967vOvs4+c85zlzzrnaaqtVXq+DLIKUBf1nj9+0O9nQ3zle0b7ZcOJ5V7PTIkhNtpw3WpcDFH93rbf9LAjW5ZCNeCoWWGs1ifvZaISZeM3ulrLpVdr2i31f97rXddvNc1MiEIuulK+LeJz1bJ+SGkx3Mce9CNJ06/QufdW1Ow2v9xZB6t22ctRDwByg2auMRIBAPQSip2HM8RcL48RQ1+xlsh4FG6AU8cvtd77znbwnySWXXNJzz+iR8sMf/jCdccYZ+RxkN998c899hs0Qw4MPPfTQyt0/+clP5sPiK59s2Ri9RzstGBE9gKt6lLXsnt+NBXSqFjjKVuQtZ83nKB12jtG2gw254c1vfnO6+OKL5+wdw81jmFId0rg841o++uij26qYBRXTf/3Xf6XoKdgtRXs+//nPb8sSc/VFL6x+0vrrr58v+tKat1svz/JzMX1CFkRv3b0R96MnbSxAFoskRA+47AvnUPWqer2Jnr1NS9kK4fn7SrwG9krReywL4KbTTz89N+40pUOv4xTPj6qtiuMt5O1ClT1680Xvyy984Qv5UPV+61j1HhvD3tdee+2uh4jXpTvc4Q5teTpNCdGW8d8bYg7teL+Pv8P4e4zpOUbxuWXc7oN+TonqLuRnlU7e0759Uq9D2q77lTOpduleqvk/O452v+666/LvaWeffXbXaZHmX3pHIDBGgXrEYZWCAIFxC4y7B2j2xWEmG/7c9i97A+5atSwYkve6yIaKtv1iH9uiF1n2JT0/RjaEpO345YNnwbm2PPe9733L2eY8zobKte2TDeudk6d4kA3HbsubBf7yMh544IEzt7vd7ebUY+nSpTNZMLfYPb/NvmDPHH744TNZAG3mFre4xZz80bMwG5qdPx/5Rpk+8IEPzDlX9taSP37EIx4x8Gke85jHVB4rG+La81jR07Q4d3Eb9c7mYWvraRnPP+xhD+t5zHFliOs6G9o9p7xPfvKTu57u3HPPbbtG4m+jV6+krgft8uS4PLMfIubUu2irXXfdtUtp5j6VBTZmjxF/v1ngYSZ6EWfTCczNmD2q6gEaPU333Xff2WMUZcimT2jbPwtSt+XLhrrOZFMVtG2fxh6gWXBl5p3vfOfMFlts0VafcLnb3e42ky1sNpN9MWmzad1w0EEHzV6fWaCo7VixrfW1fJheUwvVA/RlL3vZnLJGubNFcfLqZnPBzmRz185k88XOqeM97nGPmej5mgWZWllmsoDnzI477tjWYzh6Ib/oRS+ayb74zcnf7cEo2ipGZxTtUFz3rbfxXlM8H+8lrWnY9+M4xijKXpTla1/72mwZi7K+6lWvyp+O97d4v8hWYZ/TPlHHbI7g3DzeE7ql+HtoNYn7t7rVrWbitaBXet/73jfzyle+cuYNb3jDzFvf+taZ7MeemWxqjl67zWQLus3Ee0DV60qcPwuszrzpTW+aWblyZc9jtWYYpfsoPqdE2Sb1WaXVZZj7o+gBOsjfUB1fhybZduPuAdpv29SpXXqVeT6v961/I+No9/jsGq/b8Xms9fU2m+JsZptttpk59dRT8yLoAdraEu7XWSB+qZQIEFgEAuMOgH7zm9+c88ZYvElGgLNTylZdnclWF67cr9g/buNLabbIwUy2kEFb3vKx4wtM675xP754dUvxZaW8T7bideUuESwt540gbTavYdv2yBdDcC+99NLZY2WLxMw8/OEPr8xbPm7ki/yjSk984hMrz5v1YBn4FBHkK5c3HmdzJfY81rbbbtu271577ZXvV+Ubxy0HkXueZAQZ4kPfve997zlljWBIVfCu9XRZj7w5+xRO2TyardlGdn9cnq95zWsq65H1WB6o7F/84hfbgk1VB+gUAM16J7eVI4IX5fTe9763LV/WM6syUDFtAdCoR/nHleK6Kt9GwD4CO/GaWZU6tWv5OMXj+BI5aFqoAGi8bhTlLG6zeSFn4pqL6TOKbVW3d7rTnWaynj95kKdqKoDyPtm8gz3/9sNpVG1VdT2Xy1Q8jmBcaxrm/XiUZS/KUvU3HT+CZHMqz2y33XZd2yfqFj+aRMCxU+pUz2j7bB7igYLWnc5RbI+gWjaCou1Hy6INyrcxrUz8INtPGtU1U5yr6n10kM8pcZxJflYp6jHs7SgCoJ2urarPtHV7HZp02407ANpv29SpXXqVeT6v98XfyTja/aKLLprJRtL0fK2Ozxzxuar8OhiP4+9RIlAnAQHQOrWGshAYo0DdAqDRO6dqfr+qN8/YFoG1bIL6tjfXMtkkAqDR6yoCnVVlz1ZGny1iBA17fSkvHyPyx6+q803xASS+kJWPH71vhk1VvXYjSJMNr+t4yPgyWy5DPI6ARaQrr7yyrcdlPB89+RY6VQW13/Oe9/QsxkIGQMfpma383dZW0b7jSlXBkuhxED2jytdMtlBJWzFiW2u++JvMpmSY+gDoG9/4xjn1aq1jt/vZUODKnnBND4A+73nPm1ljjTX6MoveK3vuuWdfecM6fkTqlkbZVvP5Qtzry3ZVHUZZ9uL4VX/T0YN8yy237Ns8RnAUo0CK4xa32fQEM1W9mIu/i+ihFD9mZot65XM2dzpOcbxOtzGSJUZmFMft9zabTmLmS1/6UqfD5tvH4V4VAO33c0oUapKfVbpi9flkHQKgk3odqkPb1TkAOql26fWaPJ/X+3H9za5YsaLye0On17+Yf7nqOQHQPl+4ZFswgSXZhSoRILCIBWKus6pV3atIsoBl2nnnnaueGnjb//t//y9Vza0W8wvGaonZcM6UBXdStlhKfuxsAvCBz7FQO5x55pkdT5V9uc6fi7n2sqG8+ZyW5cxZT6S01VZbpSz4l7LAcIq8RYo5xrIeWCn7IJKKVbaL5wa5vfbaa1PWo7Ftl2w4aNu2fjdkwalUnoMt5iLMfoVOnY4bc2eW053vfOcUq/ZGyj5Apcc97nEp+9I4J9tJJ52UjjjiiJQFcedsH9eDmIMt6zEz5/CxonfVPKVzMi3wg3F6xt9fOWU9zcqbxv4468GdsiDInFV/v/71r6eYxy4LdOXnj7+Z2NaaYhXg9dZbr3XTUPff8pa3pGzRlIH3jWs2ruf5pJiHMhue2/EQ2RQaKftyUfl8zGuWLQqVsqF3s06VGRdw40JYZlMszNYo5oLMAlcpLOL1tZzOP//8FP+KlC3QlbIpN/LXsPJrW+SJOSrj76Jq/t9pbquFLHvMH9yaNthgg5QFRFOs6H7jjTe2PpXfj/lBY17w//iP/2h7Lps6JWU/SqWXvOQlbc/Fhmw4aIq56uJfNkVNyqZDSNmIkvxfFsxO2aiSyv3KG7PFlvLylbfH4+xHynw+0arrJebge+pTn5pfT1XnWkj3fj6nRH0m/VklytCENInXIW3X+8qZRLv0LtX8coyr3eN7WtX3hihtNiIixXeACy64IGXTfeQV6GeO7fnV1N4ERiSwYKFWJyJAYKICnXqAZi8llb/YVW2PHkWdUq9fN1v3i3nBqo4fw91iuEVrWr58+UzMD1mVP7aV0yR6gBZli96asQp1/JIbw/yywHLeAy3KGPOEFvmK21gNO/K2pnPOOWfm7ne/e1veU045pTXbwPdjCHlx3tbbF7zgBQMfq9ih07DRYg6+Il9xG0PKq6YxiJ6WrSnavLWMxf3sg2trtrHej3kPi/MWt7FycD9poXqAjtMzelYV9W69zX4A6YdgqDxVvcWyD9j5sV760pe2lSd6uhQpVqRvLWfcjyFZkarm6htkCHz5uP0+/uUvf1kUb6jbmKMy5hOsOl8M7Yth5jEcM3q5ZouozVT1yI593/GOd8w5f0zJEddo/Ntll13ajh9TjhTPx+2vf/3rOfv386DTEPiquvSzrZNl1RDH4ngxTUJcx0WKXoDFc1W3hx122Ey2oFiRfeagbK7UqnxVvcDH0VYxnDFW/o1/VeU45JBDZp+P99TWNMj78TjKXpSl6m+6qEtMfxPTrxQjBmKKkL333ruyrtHO3dKznvWsyv2Kc1XdRs/RbFG//O+o27GzL/WVo1ViSoSYbqFI8dmlU+/q7Me7Itvs7Tjdq3qAFgbdPqdE4Sb9WWUWaB536tADtPBeyNehurRdnXuATqJd4lLu9Zo8n9f7cbR79FwvrFpvYw7t8jRI8Zm9aoRZsZ8eoPN4MbPrWATaowdjOY2DEiAwaYE6BUCr5sCM4fCdFg3Iei5UvhHHm2s5TSoAmvViaZsfLuu9mRcvFnKIeUiLDwPFbXyBrUoRBC0PqY+5KGNy82FTp6BzfOkfNsV8aEVdWm+L4ezl43YKbGa/IM/JGnMXRvC49ZhxPxaUWogUQZDyfIsxtKdq7q+q8sR1HNdh+d982q/qPOP0vOKKK9r8ow1e+MIXVhVlJNuqgiVFAPS0005rK08sXFKkquBW1tMsf3paA6BZb8m2OkcbvOtd7yqqPec2Xm9iwbDy3018MekUQIzhgOX8MSR8vmnSAdAImJdTBNqqflyK+ldNqRBf2iJYVPbZf//9y4eeGXdblcsQjyMw2in1+rLdut84y171Nx1lj9fXrMdkazHy+xEEjR9ay/Xt9dofge4Xv/jFldOnlI9VfhzvtdGmWe/TtvLEhgiSlveJ6Xjih4eq9OAHP7gtf7wGlYMA43TvFADt9jkl6lKHzypVpoNuq0sAdCFfh+rUdnUPgC5kuxTX7iCvyeXXm3jc6fV+XO1e9VkiFpiL+ZurUtVntKIe5de+qv1tI7CQAqtnF6dEgACBBRX40Y9+1Ha+GFocQ+GqUgxVi2GMdU7ZB6p017vedU4Rsy95+eOobzFEpMgQQ7mzno/Fwzm32Ze9fBh468Zs1eu2Ib6tz/e6nwX1KrNkX+Qqt/ezMfswVJmt05CZquHaMUw5/rWmOO4ee+zRuim/H0N5s56sbdtHvSGGO8dQ/tYUbZXN59a6qeP9uI5j6oPyv2K4dscdB3xinJ7Zh+rK0vRrULnzPDbusMMOKabHaE1f+cpXZh+23o+NMV1ENvff7PPTdif7IJiyVWHbip0teJVe/epXt22PDfF6k/U2anOKv8fsy0nlPk3cGNdotrp4W9XimsgWc2jbHhve//73t23P5o9MWS/Ftu3l19JpbqtJlT2mdaiaJiXeFx/zmMf0NC9niKHwH/zgB/Nh6o961KPa/gbK+Vsfh8G73/3u9JSnPGXO9DNFnmwO7uLu7G1MS9Npeo0ssJlPkZAFTlP2Y0XKepvn0yzE9VSkSbl3+5wSZavDZ5XCaNpvF/p1SNv1d8UsdLv0V6rhc42r3aumQIrvaTFlV1WK18+so0bVU7YRqJ3A/70b165oCkSAQBMFsgVNUtbDr61qVfN7tWaKgFjMEVbXFG/+nVLW+6rtqZhPslMAMTJHUDC+OLWmmFtz2FQEY8v7X3bZZeVNfT/utG/VXGfZMNrKAO6zn/3syvPFl8eqAN+HP/zhtrk5Kw8w5MaYsy3mlGtN8eU66/nYumni98ft2Wle4EnN8RRB5ZgHNBtmOmuf9ZROWY+xPNiZDaWd3R53tt56677n95uzY8WDbBh617/Vil3yTa0Bj055Om2PemZD1duefsMb3tA1uBNzU2YLxuVzVbbuvBA/HLSer9P9hbCM+SQjkFaVql4HYx6zjTbaqCp7HlQuPxHXXGua5raaVNm7/aAZ7VFOVXODlvPE46z3Zf4+c/XVV6dsZfX0mc98Jp//M+YL7pWyHlYpm/YgRQCzSHHeyy+/vHg4e7vTTjvN3i/fiee6PR/5J+Xe7XNKlKsOn1WiHE1IC/06NK62i7+JbLqGnk2SLbKVnvzkJ/fMN+kMC90u467vONo92rv8Phf1iPmMO6X4gTG+p7W+fnbKazuBSQsIgE66BZyfwIQFoidDsQBNr6LEIkjzTRG4qUqx6FG31Ov5bvv2ei56Y8wnRc+0LbbYouMhfvGLX7Q9F4s7Pf3pT2/bXmyo2mc+wacIPFSlqoUbqvJVbasK0ES+qnNFb7ayc3xgyuZuqzp0yqZJSBEkLpcvG1aeL4bULXhcecA+N8aX5rJzBJQiCFqnNG7PTr2byjYLafLoRz96TgA0m5IgZXNUpgg0lgMk0QtsVCl6B3b7Wx3VeVqP0+lvq1MPxtZ9I08s1tOa6hIAXQjLTj1UwiMWOSqnbu8tVT8ElF/HprmtJlX2qiBn0S6xcFU5xSIfg6S4BuKzTfyL3vyxCFI2DUy+uF4sqtQpxY9fsfBHMTIiFs8qt3fsO9/F4Cbh3utzStSr6nPHQn9WiXI0IS3069C42u5Tn/pUvjhnrzaJH5GmIQC60O3Sy22+z4+j3cufu4syZlPIFHcrb+f7ulh5UBsJjEFAAHQMqA5JYJoEttlmm5TNf7ZgRa4KgMYH824fSqJw5eHlgxS46gtM6/7R628+KXo8dhsaXPULbQyJjw+Wg6T5BJ869XDq9EWsn3J16gFabsvofdO68mZx7Gj3WHG5U4ovXuWUzXOYu2VzF5afGsnjWG24nHbffffypok+XgjP6EEXP3hkc+vNqesw12A2/1OK1crnmyKomS0aNucwMfS9qqdlBEunOVX19o4pFLoFjor6xg8H5RRTaIyqHcrHrtvjbj9WVF2H3X7Y62faimluq0mVvVMP3biWqgKg87nGotdvBGaK4Ex8BjnmmGPy6SLKPUPj9e4Tn/hEetGLXpSfsiq4EE+U3+MGLd8k3Ht9Tok61OGzyqCWdc2/0K9D2q6/K2Gh26W/Ug2faxztXhUAjc9Z2VoGXQuazZXf9XlPEqiLgABoXVpCOQgsEoGqL5QRoIzAVlXPwYKlPCdjsb2f2169R6In2XxS0Vuk0zHmU/bWYw4TfCr2jw8uVT0q4wvetdde23E+s2L/8m3sUxXMjjmAyr0HzzrrrJRNnF4+RIovn1VfBNsyljbEMPhxBECjPNmiHXPOFl/UYw7aOqWF8nzIQx6SvvrVr86pekxhEfODVvWMm5Ox5UHMWxlfvuOHlvjXrcddy25td4t5QFt/0IgAaDmoFT2LH/GIR7TtP00bqgJE8YNB/OuVqvJUbet1nGl9ftAAWpX1IHWv2n9a2mpSZa86b2Fe9RmheK58G69FMdw9/sWwzegJHtOndEubbrppOvroo/NpZl7wghe0ZY3h6UWKHw2qUpx3PqMQquo/7mum1+eUqGcdPqtUeU/jtoV+HdJ2/V0lC90u/ZVq+FzjaPeq1+BsEc8UnUWqRlEUpa/6Mbp4zi2BOgkIgNapNZSFwCIQ6NSDKVt1umsAtFNvw37IOn2JKfadbwC02y/KcY6qOm+++eZpl112KYrQ122v4Se9DhIBpPIvu7FASixIEYtADJJin/Kw49i/auGZj370o4McumfeYjGkrbbaqmfeQTKce+656brrrpuzy84771y74e8L5RltWQ6ARpA4FhuJYaL9pBUrVqT4FylbBTW96lWvStHr/JWvfGXqNP9rp+Ouv/76+SI2rcO5Y6L+CHi2pgc+8IEpW727ddPU3b/zne/cVub4AhLzEVb18GzNXP4bj+fih4lyoLh1nybdHzTYO2j+stU0t9Ukyh5frudrHm3wtre9LcWcuK0pjrvjjjv21UMzpl+J16NyL/f4LFKkeJ+uShFw3XDDDaue6mvbJNx7fU6Jgtfls0pfiDXPNOg1Pmj+cvW1XVmk+vGgzoPmrz7r+LaOo93jR6KqdM0116RuvTyr5kuuOo5tBCYtIAA66RZwfgKLTKDqzToILrjggnzhkk4c3//+9zs9NWd71YeVqsm8W3eKLzPzSb1+9axa7TZ6SZYX25lPGfrZNxaa+tjHPtaWNVaOfsUrXpE6tU15h/iQU7VqcuTbdddd52SPXjnl+QjnZBjywTgWQ4pFMMqpKqBbzrOQjxfSMxY1iAUQyumoo47Kr5duPQGKfT70oQ8Vd2dvzz///Hw49uyGAe7EMPjWAGj0Bi0PY4080546fcn42c9+1jMAGnnKKRZVk8YjMKm2au0JPWzNJlX2Ycvbul/VNBdhcsYZZ6SXvOQlrVkr70dPsHgNKwdAW9/POwVAI0gaC451SvG6GdPOxHy8sehKeXTLJNxb69Wp3HX5rNKpfLZ3FhhX28WCXv3MPR3XuTQ+gU6v9+No980226yyIjHqq9NrV+wwn44qlSe0kcCYBARAxwTrsAQIVAvE3FkxFOtPf/rTnAxHHnlk3iOsKoAZPZo+/vGPz8nf6UHVMK/oORVD7Dv1Cuu2KEKn87Rurxou0vp8VY+tGGYXw0k6zR0aK97HsPX4cFNl0nr8fu9HADR6gsV8gK0pyhFDyj/96U+n6GXXLV1//fXp+c9/fqrqNRsfksu9WqPdwr+cYnh1PwG02C8CZjfccMOcQ5x00kkjXwypKgAaqwrXKS2k54Me9KAUwcRvfOMbcwjiB4PofXXwwQfP2V5+EJ4f+MAHypvzYMAzn/nMtu39bIjyHHvssV2zVgVGuu5QwydjxftY+b48D+473/nOfJX3TkWO4GfVPLaj7i3d6fyLcftCtFX0ci5P5VIO/A9jvxBlH6Zc/ewTr83xnh7v7a3p0EMPTbHaea/56mJRpJjKpZzuda97zW6KXpPxhb88/Uy8/xRzis5m/ved+LwSZWhN8bknfgiM3umRJuHe63NKlKsun1WiLNJgAuNqu4X+oX6wWjcz9yCv9+No9/jBpuq1NdYt6NQpIEbanXLKKc1sELVqnMDqjauRChEgUGuBCOZVzbsVvbqi10T5V84Ituy111599xgr97QoMOLLTlWKnoyx0ut8Uq8A5eMf//i2+cIiANxp2HkEPWK4egxDiQU6Yg7FmNcshmjPJ8WHqje+8Y2Vh4jhyVtvvXVbsKs18znnnJP3eol5F6tSHLtscdxxx7VljTkgYxh7nLOffxFwLaeY96hqEan4MhzlK/8rX1fl40UvoBhO3ZriC2PxhbV1e6/7Ubby+eNxOYDR6zhVzy+0Z3mIaVGmQw45JMUQ0nJgunj+s5/9bP6DRpX7Pvvsk6rmwCv27XZbzAPaKU+02bTP/xl1i95a4VtOEYw+8cQTy5vzx/GjRAzpLQfGwvqpT31q5T42zl9gIdqqavqCmL5kvmkhyj7fMnbaP/7WH/vYx7Y9HZ8Znva0p6Urr7yy7bliQ4w4qfr7iufLC/OVH0eeeH3r9MPpu971rsgyJ8X7Ymsv7Em4l9+b5xTw3w/G+Vkl2qX8vvitb32rqhi2DSEwzrYbojh2mYfAIK/342r3pUuXttXg5JNPzkfrtT2RbYipmfQArZKxrY4CeoDWsVWUiUDDBeJLevTiKs/N+Za3vCUPjMUw6hg+Fj3/jj/++BQLr/SbOs1d89KXvjQ99KEPTcXcW3Huz33uc3nAoN9jD5svelXGqrLlX9KjvrG6/Z577jl76PhSGwHiYmX6GL4fDtGzK3p/zTfFvItnnnlmZfAwFiqKL5TROzPmaYx/ETSN8//whz9M0Su1qjdnlCnq8IxnPGNO8SK4WbVCZQS0+/kyVhwsAmaxam85xfDq52U9V1tTzDcZHwjLKYJDnXrbRt4Y0lgO1kUvnWEWurjwwgsryxBtOWzgL8o4Cc+wjL+dqikPTj311BRfYB+V9cqMIP3GG2+cX6cxb+jXv/71KHJbih7aL3/5y9u297shpo6I3ozFvKLl/aLXalUv8HK+QR7HFBFVvYP7OUYMk331q1/dT9a2PHHdx6r35YBm/BgSAZx4HY3Xj3gti7/PfffdN/3oRz9qO04EqzsNaWvLPOYNk7Icc7XSuNsqXjfKve5PP/30FL36o1d+/HhT7n3fb53HXfZ+yzFMvvjbiiHv5fels88+O8Xw9fjxLF4TopdUvP7Gonvx+vSZz3ym7fU+zr/FFlu09bCO3u7xWaHVP/4mt99++xRTscQiefE+EceP9+iq18p43y33wKyj+zg/q3zpS19qe7+O3rXdAtXDXBOLdZ9xtt2oTOOHg6rFM3sdf//99+86RVav/aft+UFe78fV7ocddli+KGjr5+L4cf9xj3tc/vr58Ic/PP9+EK+F8fm833nhp60tlLehAtmFLREgsAgEsqDMTPYy1vYvCzCOpPZZcKbt2HG+7EtD5fFf+MIXVuavKmNsy34RrcxfdfAs6FCZN/sCMpO9ac/sscceM9nwjso8xfmzYR5Vh555+9vf3rZfFiiszNu6MfuQP5MF4Nr2jfNlAceZ/fbbbybrpTWTfZGqzPP617++9XDzup+tYDuTBZEqz1PUf5Db8M56ULaVKfvSV3mOiy++uC1vrw3Zl9jKY2WBoDm7DnodFjtnq7+3HT/rRVQ8PdDtt7/97bZjhWf2BXmg45QzT8IzypAtdjWz3XbbVdZpkOskrv+sB1C5WrOPq9ogm5d29vniTjZfbceyZB/Ci2yzt1lgti3/l7/85dnnizvnnXdeW75B6leVN5tHtTj8ULeHH3541zJlw+RnsrkMO+bJAtMzWXCo47mzHxDa9s1+zOiYv98nFsoy+zGlrfzPec5zOhYz+yGqLf/uu+/eMf/ee+/dlj+bvqEy/zjbKvsxpq0ccb0V7ylxDbSmQV8Hx1X2qr/peB/ulrIfttrqmk0F03GXI444oi1/1d9ir23Zj3IzWWC08jzZ6IaO54j6xGtM3Fad43a3u93MpZdeWnnccbkP+zklCjmuzyonnHBCm08WAK10me/G7EehtnNF2xxwwAF9H3qQv6G6vA6Nq+36Rvt3xixQVulf9ffRz7bsR/s5Rei3berSLlH4fssceQd9vR9Xu3f6zBlttu66685kvURnslFqPds6/h4lAnUSMAQ++yuWCBBYeIGjjz4672nYz5ljWHvVsLJO+0bPqKoUv1Rmwam892Mxb1jMQxm/dI47RU+H6P1UlWJoe/SIjV4p0YuknGJI75ve9Kby5qEfx7D66LkXq+XON0Wvo+yDXdtK6eEbc4qWU/QUjF42g6aqYfBxjOiBM4rUuvJvcbzobViXNEnP+BuJoYs777zz0BzR4zcW4KoasjroQaPHaafUhPk/W+uWfWHP5zNs3dZ6P6bLyALUrZtm79/97nfP507OAjOz29wZn8A42yoWJKtKxUiBuAZihd5h0zjLPmyZ+t0veh5FL8z5piwY2fFvLaYC6fS+FZ8rsgBEW0/tKE8MdY/3weyHnMri1dG9Tp9VKtFs7Cig7TrSTNUTg77ej6vd3/rWt7Yt4FZAxsiDmMqqdRG5+E4RZZEI1F1AALTuLaR8BBoqEEM8st4hKet907WG8aUjhtPe5z73acvXaUhzDBGNYda9UvYLZophWeWh2732G/b5GNoew7YHGVYdAZ2zzjornwt02PNW7Zf1SsmH9UbwN+4PmmKC9PjCGAuuVA05jsnQq+aoi6GAw6SYry1W7S2nmJOoKmhcztfrcd0DoJP2XGeddfK2fvOb3zzQ9RvusfDWaaed1nHOvV5tU36+0zygEWyIYVlNShE4jgDKUUcdVXn9d6pr/GAQ0wTENA7SwgiMs63iPa3T+11RuwjCDZvGWfZhy9TvflH2T37yk/nCQ1XvRb2OE58DYth6BCM7pXjP/sEPfpBPBxLn6yfFD40xL14MGe2U6uq+UJ9V+rXs5Gd7u8BCtV37mW0ZlcAwr/fjaPeYYiem14mOC71S/DAdnTiq5i/tta/nCSy0gADoQos7HwECswIRRIvASDYcNQ+OxDx1ERiN1Y8jkBErSMebbywekHWdn92vuBNfMDqlWKU15s+LN/Byinktd9ppp/Sd73yn44qG5X1G9TjmAo3FE+IDTnzx6pSyIcd54CN63sVKtONI0TMsFi6Kictj1dr4kBM2nVJ8WYl5QWNOwWxIXzrwwAPb5jUr9q1arCcCVMMGm+Na2W233YrDz97GnETx5Xe+qe4B0Dp4RvtF28e8rtHLepMOvZqKtogfLeLv8KKLLhrpIjzRI7x1QZHifHFtRqC2aSn+7sI7Fop73ete17GHRbwexoItMV9pBF6GCQY1zW6h6zOutopAdvS2aV2hvKhbfOGMv4f5LrI2rrIX5RznbbxHLlu2LMUK7DFfYLf31qIcMZdwBD1//vOf5/PnFts73cY5YhRH/Gga75XRM74qRbA0eqXGe2S8z/dKdXVfiM8q4/ps08u86c8vRNs13XCS9Rv29X4c7R4jSWLkXDZNV2Vv0PiOFesbxNzK3b6TTdLTuQmUBVaL8fjljR4TIECgbgLR0zAWfGhNsZp4LGrQLcWXwli8J74YZXNf5gu1xKIIdRimEQs3RK+S6LmzcuXKPNCZzXWWB5aibpNI1113Xb6QSgytjSGV4RcB6fgXC7rEhOsSgUIgFueKgGgsVBYrwm+SBUVjwZH458ttoTTa2/ibjKDy5Zdfni/eFX+bW2+9dYoF4CKYItVHYNRtFR/ZYxGRWATrT3/6U97uW265Zcdg3HwkRl32+ZRlmH1j2pB4349AZPzIFz1oY1qTeA+73/3uN7sg4jDHjn1i6Hu89sUPEzEcNN67418EDObTC6qO7qP8rBKLtkU7xOexWHAxPp9J4xMYZduNr5SOXCUwn9f7cbV7vObFtF1x/FhoLhaX7dZxoqpethGYtIAA6KRbwPkJLEKBGDodPffii0Lrv269tz7ykY/kK6m3ckUv0ZjLUiJAgAABAgQIEKi3wDe+8Y1UzNW8zz77pKrRDfWugdIRIECAwDQLLJnmwis7AQLTKRBDzk488cS2wh988MHpoIMOatseCzzE3JnlFENeJQIECBAgQIAAgfoLxGJ4RepnrvYir1sCBAgQIDAKgc6TvY3i6I5BgACBCoEYMlGVYmX4WPCnWDwnVheMuWdioaTzzz+/bZeqOSHbMtlAgAABAgQIECAwMYFYlO0pT3nK7I/fMT9q0RN0YoVyYgIECBBYdAKGwC+6JldhApMXiDm5YtGGCHB2SjFf19///vdOT6enP/3p6ROf+ETH5z1BgAABAgQIECAweYHXvva16V3veldekKVLl6aY1z3mApUIECBAgMBCCgiALqS2cxEgMCtw+umn5ytDD7MOW6w0ePHFF+cLGs0e0B0CBAgQIECAAIHaCVx11VUpAp+HHHJIit6fFmyrXRMpEAECBBaFgADoomhmlSRQT4Hly5fnH4ZjVcF+UwyhOuKII9Jmm23W7y7yESBAgAABAgQITFAgVo5essTyExNsAqcmQIDAohcQAF30lwAAApMVuPnmm9MZZ5yRTj311HTllVem6CXw29/+Nv3tb3/LC7bWWmulTTfdNG233XbpBS94Qdp+++0nW2BnJ0CAAAECBAgQIECAAAECBKZKQAB0qppLYQksHoE//vGP6Za3vGWKuUAlAgQIECBAgAABAgQIECBAgMCwAgKgw8rZjwABAgQIECBAgAABAgQIECBAgACB2gusXvsSKiABAgQIECBAgAABAgQIECBAgAABAgSGFBAAHRLObgQIECBAgAABAgQIECBAgAABAgQI1F9AALT+baSEBAgQIECAAAECBAgQIECAAAECBAgMKSAAOiSc3QgQIECAAAECBAgQIECAAAECBAgQqL+AAGj920gJCRAgQIAAAQIECBAgQIAAAQIECBAYUkAAdEg4uxEgQIAAAQIECBAgQIAAAQIECBAgUH8BAdD6t5ESEiBAgAABAgQIECBAgAABAgQIECAwpIAA6JBwdiNAgAABAgQIECBAgAABAgQIECBAoP4CAqD1byMlJECAAAECBAgQIECAAAECBAgQIEBgSAEB0CHh7EaAAAECBAgQIECAAAECBAgQIECAQP0FBEDr30ZKSIAAAQIECBAgQIAAAQIECBAgQIDAkAICoEPC2Y0AAQIECBAgQIAAAQIECBAgQIAAgfoLCIDWv42UkAABAgQIECBAgAABAgQIECBAgACBIQUEQIeEsxsBAgQIECBAgAABAgQIECBAgAABAvUXEACtfxspIQECBAgQIECAAAECBAgQIECAAAECQwoIgA4JZzcCBAgQIECAAAECBAgQIECAAAECBOovIABa/zZSQgIECBAgQIAAAQIECBAgQIAAAQIEhhQQAB0Szm4ECBAgQIAAAQIECBAgQIAAAQIECNRfQAC0/m2khAQIECBAgAABAgQIECBAgAABAgQIDCkgADoknN0IECBAgAABAgQIECBAgAABAgQIEKi/gABo/dtICQkQIECAAAECBAgQIECAAAECBAgQGFJAAHRIOLsRIECAAAECBAgQIECAAAECBAgQIFB/AQHQ+reREhIgQIAAAQIECBAgQIAAAQIECBAgMKSAAOiQcHYjQIAAAQIECBAgQIAAAQIECBAgQKD+AgKg9W8jJSRAgAABAgQIECBAgAABAgQIECBAYEgBAdAh4exGgAABAgQIECBAgAABAgQIECBAgED9BQRA699GSkiAAAECBAgQIECAAAECBAgQIECAwJACAqBDwtmNAAECBAgQIECAAAECBAgQIECAAIH6CwiA1r+NlJAAAQIECBAgQIAAAQIECBAgQIAAgSEFBECHhLMbAQIECBAgQIAAAQIECBAgQIAAAQL1FxAArX8bKSEBAgQIECBAgAABAgQIECBAgAABAkMKCIAOCWc3AgQIECBAgAABAgQIECBAgAABAgTqLyAAWv82UkICBAgQIECAAAECBAgQIECAAAECBIYUEAAdEs5uBAgQIECAAAECBAgQIECAAAECBAjUX0AAtP5tpIQECBAgQIAAAQIECBAgQIAAAQIECAwpIAA6JJzdCBAgQIAAAQIECBAgQIAAAQIECBCov4AAaP3bSAkJECBAgAABAgQIECBAgAABAgQIEBhSQAB0SDi7ESBAgAABAgQIECBAgAABAgQIECBQfwEB0Pq3kRISIECAAAECBAgQIECAAAECBAgQIDCkgADokHB2I0CAAAECBAgQIECAAAECBAgQIECg/gICoPVvIyUkQIAAAQIECBAgQIAAAQIECBAgQGBIAQHQIeHsRoAAAQIECBAgQIAAAQIECBAgQIBA/QUEQOvfRkpIgAABAgQIECBAgAABAgQIECBAgMCQAgKgQ8LZjQABAgQIECBAgAABAgQIECBAgACB+gsIgNa/jZSQAAECBAgQIECAAAECBAgQIECAAIEhBQRAh4SzGwECBAgQIECAAAECBAgQIECAAAEC9RcQAK1/GykhAQIECBAgQIAAAQIECBAgQIAAAQJDCgiADglnNwIECBAgQIAAAQIECBAgQIAAAQIE6i8gAFr/NlJCAgQIECBAgAABAgQIECBAgAABAgSGFBAAHRLObgQIECBAgAABAgQIECBAgAABAgQI1F9AALT+baSEBAgQIECAAAECBAgQIECAAAECBAgMKSAAOiSc3QgQIECAAAECBAgQIECAAAECBAgQqL+AAGj920gJCRAgQIAAAQIECBAgQIAAAQIECBAYUkAAdEg4uxEgQIAAAQIECBAgQIAAAQIECBAgUH8BAdD6t5ESEiBAgAABAgQIECBAgAABAgQIECAwpIAA6JBwdiNAgAABAgQIECBAgAABAgQIECBAoP4CAqD1byMlJECAAAECBAgQIECAAAECBAgQIEBgSAEB0CHh7EaAAAECBAgQIECAAAECBAgQIECAQP0FBEDr30ZKSIAAAQIECBAgQIAAAQIECBAgQIDAkAICoEPC2Y0AAQIECBAgQIAAAQIECBAgQIAAgfoLCIDWv42UkAABAgQIECBAgAABAgQIECBAgACBIQUEQIeEsxsBAgQIECBAgAABAgQIECBAgAABAvUXEACtfxspIQECBAgQIECAAAECBAgQIECAAAECQwoIgA4JZzcCBAgQIECAAAECBAgQIECAAAECBOovIABa/zZSQgIECBAgQIAAAQIECBAgQIAAAQIEhhQQAB0Szm4ECBAgQIAAAQIECBAgQIAAAQIECNRfQAC0/m2khAQIECBAgAABAgQIECBAgAABAgQIDCkgADoknN0IECBAgAABAgQIECBAgAABAgQIEKi/gABo/dtICQkQIECAAAECBAgQIECAAAECBAgQGFJAAHRIOLsRIECAAAECBAgQIECAAAECBAgQIFB/AQHQ+reREhIgQIAAAQIECBAgQIAAAQIECBAgMKSAAOiQcHYjQIAAAQIECBAgQIAAAQIECBAgQKD+AkvqX0QlXEwCN954Y7rssssWU5XVlQABAgQIECBAgAABAgQIECDQt8B6662XNthgg77zy5jSajNZAkGgLgI77LBDOvvss+tSHOUgQIAAAQIECBAgQIAAAQIECNRKYO1KzZVdAABAAElEQVS1106//vWv053vfOdalavOhdEDtM6tswjLVvT+3GyzzdKSJS7PRXgJqDIBAhMUKHrhr7POOukud7nLBEvi1AQIECBAgAABAgQIVAlE3CQ+t1999dUCoFVAHbaJMHWAsXmyAl/96lfT3e52t8kWwtkJECCwCAV+8pOfpE022SRFEFQiQIAAAQIECBAgQKBeAttuu206//zz61WoKSiNAOgUNJIiEiBAgACBhRLYaqutFupUzkOAAAECBAgQIECAAIEFEbAK/IIwOwkBAgQIECBAgAABAgQIECBAgAABApMQEACdhLpzEiBAgAABAgQIECBAgAABAgQIECCwIAICoAvC7CQECBAgQIAAAQIECBAgQIAAAQIECExCQAB0EurOSYAAAQIECBAgQIAAAQIECBAgQIDAgggIgC4Is5MQIECAAAECBAgQIECAAAECBAgQIDAJAQHQSag7JwECBAgQIECAAAECBAgQIECAAAECCyIgALogzE5CgAABAgSmQ+Cmm26ajoIqJQECBAgQIECAAAECBPoUEADtE0o2AgQIECDQdIFLL700rbvuumn//fdvelXVjwABAgQIECBAgACBRSQgALqIGltVCRAgQIBAN4FLLrkk3XDDDWnFihXdsnmOAAECBAgQIECAAAECUyUgADpVzaWwBAgQIECAAAECBAgQIECAAAECBAgMIiAAOoiWvAQIECBAgAABAgQIECBAgAABAgQITJWAAOhUNZfCEiBAgAABAgQIECBAgAABAgQIECAwiIAA6CBa8hIgQIAAAQIECBAgQIAAAQIECBAgMFUCAqBT1VwKS4AAAQIECBAgQIAAAQIECBAgQIDAIAICoINoyUuAAAECBAgQIECAAAECBAgQIECAwFQJCIBOVXMpLAECBAgQIECAAAECBAgQIECAAAECgwgIgA6iJS8BAgQIECBAgAABAgQIECBAgAABAlMlIAA6Vc2lsAQIECBAgAABAgQIECBAgAABAgQIDCIgADqIlrwECBAgQKDBAkuWLMlrV9w2uKqqRoAAAQIECBAgQIDAIhL41zedRVRhVSVAgAABAgSqBZYuXZqWLVuWdt555+oMthIgQIAAAQIECBAgQGAKBQRAp7DRFJkAAQIECIxDYM0110yHHnroOA7tmAQIECBAgAABAgQIEJiYgCHwE6N3YgIECBAgQIAAAQIECBAgQIAAAQIExi0gADpuYccnQIAAAQIECBAgQIAAAQIECBAgQGBiAgKgE6N3YgIECBAgQIAAAQIECBAgQIAAAQIExi0gADpuYccnQIAAAQIECBAgQIAAAQIECBAgQGBiAgKgE6N3YgIECBAgQIAAAQIECBAgQIAAAQIExi0gADpuYccnQIAAAQIECBAgQIAAAQIECBAgQGBiAgKgE6N3YgIECBAgQIAAAQIECBAgQIAAAQIExi0gADpuYccnQIAAAQJTIrBq1aq01157pdNPP31KSqyYBAgQIECAAAECBAgQ6C2wpHcWOQgQIECAAIHFIHDeeeel5cuXp5UrV6bddtttMVRZHQkQIECAAAECBAgQWAQCeoAugkZWRQIECBAg0I/AzTffnGcrbvvZRx4CBAgQIECAAAECBAjUXUAAtO4tpHwECBAgQIAAAQIECBAgQIAAAQIECAwtIAA6NJ0dCRAgQIAAAQIECBAgQIAAAQIECBCou4AAaN1bSPkIECBAgAABAgQIECBAgAABAgQIEBhaQAB0aDo7EiBAgAABAgQIECBAgAABAgQIECBQdwEB0Lq3kPIRIECAAAECBAgQIECAAAECBAgQIDC0gADo0HR2JECAAAECBAgQIECAAAECBAgQIECg7gICoHVvIeUjQIAAAQIECBAgQIAAAQIECBAgQGBoAQHQoensSIAAAQIECBAgQIAAAQIECBAgQIBA3QUEQOveQspHgAABAgQIECBAgAABAgQIECBAgMDQAgKgQ9PZkQABAgQINEtgyy23TFtssUXaaaedmlUxtSFAgAABAgQIECBAYFELLFnUtVd5AgQIECBAYFZgo402ShdffPHsY3cIECBAgAABAgQIECDQBAE9QJvQiupAgAABAgQIECBAgAABAgQIECBAgEClgABoJYuNBAgQIECAAAECBAgQIECAAAECBAg0QUAAtAmtqA4ECBAgQIAAAQIECBAgQIAAAQIECFQKCIBWsthIgAABAgQIECBAgAABAgQIECBAgEATBARAm9CK6kCAAAECBAgQIECAAAECBAgQIECAQKWAAGgli40ECBAgQIAAAQIECBAgQIAAAQIECDRBQAC0Ca2oDgQIECBAgAABAgQIECBAgAABAgQIVAoIgFay2EiAAAECBBanwBlnnJGuuOKKxVl5tSZAgAABAgQIECBAoJECAqCNbFaVIkCAAAECgwuce+65adddd0377bff4DvbgwABAgQIECBAgAABAjUVEACtacMoFgECBAgQWGiBVatW5acsbhf6/M5HgAABAgQIECBAgACBcQgIgI5D1TEJECBAgAABAgQIECBAgAABAgQIEKiFgABoLZpBIQgQIECAAAECBAgQIECAAAECBAgQGIeAAOg4VB2TAAECBAgQIECAAAECBAgQIECAAIFaCAiA1qIZFIIAAQIECBAgQIAAAQIECBAgQIAAgXEICICOQ9UxCRAgQIAAAQIECBAgQIAAAQIECBCohYAAaC2aQSEIECBAgAABAgQIECBAgAABAgQIEBiHgADoOFQdkwABAgQIECBAgAABAgQIECBAgACBWggIgNaiGRSCAAECBAgQIECAAAECBAgQIECAAIFxCAiAjkPVMQkQIECAAAECBAgQIECAAAECBAgQqIWAAGgtmkEhCBAgQIDA5AXWX3/9vBAbbLDB5AujBAQIECBAgAABAgQIEBiRwJIRHcdhCBAgQIAAgSkX2HrrrdOKFSvSJptsMuU1UXwCBAgQIECAAAECBAj8n4AA6P9ZuEeAAAECBBa9wFZbbbXoDQAQIECAAAECBAgQINAsAUPgm9WeakOAAAECBAgQIECAAAECBAgQIECAQIuAAGgLhrsECBAgQIAAAQIECBAgQIAAAQIECDRLQAC0We2pNgQIECBAgAABAgQIECBAgAABAgQItAgIgLZguEuAAAECBAgQIECAAAECBAgQIECAQLMEBECb1Z5qQ4AAAQIECBAgQIAAAQIECBAgQIBAi4AAaAuGuwQIECBAgAABAgQIECBAgAABAgQINEtAALRZ7ak2BAgQIEBgXgI33XTTvPa3MwECBAgQIECAAAECBOomIABatxZRHgIECBAgMCGBSy+9NK277rpp//33n1AJnJYAAQIECBAgQIAAAQKjFxAAHb2pIxIgQIAAgakUuOSSS9INN9yQVqxYMZXlV2gCBAgQIECAAAECBAhUCQiAVqnYRoAAAQIECBAgQIAAAQIECBAgQIBAIwQEQBvRjCpBgAABAgQIECBAgAABAgQIECBAgECVgABolYptBAgQIECAAAECBAgQIECAAAECBAg0QkAAtBHNqBIECBAgQIAAAQIECBAgQIAAAQIECFQJCIBWqdhGgAABAgQIECBAgAABAgQIECBAgEAjBARAG9GMKkGAAAECBAgQIECAAAECBAgQIECAQJWAAGiVim0ECBAgQIAAAQIECBAgQIAAAQIECDRCQAC0Ec2oEgQIECBAgAABAgQIECBAgAABAgQIVAkIgFap2EaAAAECBAgQIECAAAECBAgQIECAQCMEBEAb0YwqQYAAAQIE5i+wZMmS/CDF7fyP6AgECBAgQIAAAQIECBCYvMC/vulMvhxKQIAAAQIECExYYOnSpWnZsmVp5513nnBJnJ4AAQIECBAgQIAAAQKjExAAHZ2lIxEgQIAAgakWWHPNNdOhhx461XVQeAIECBAgQIAAAQIECJQFDIEvi3hMgAABAgQIECBAgAABAgQIECBAgEBjBARAG9OUKkKAAAECBAgQIECAAAECBAgQIECAQFlAALQs4jEBAgQIECBAgAABAgQIECBAgAABAo0REABtTFOqCAECBAgQIECAAAECBAgQIECAAAECZQEB0LKIxwQIECBAgAABAgQIECBAgAABAgQINEZAALQxTakiBAgQIECAAAECBAgQIECAAAECBAiUBQRAyyIeEyBAgAABAgQIECBAgAABAgQIECDQGAEB0MY0pYoQIECAAIH5CaxatSrttdde6fTTT5/fgexNgAABAgQIECBAgACBGgksqVFZFIUAAQIECBCYoMB5552Xli9fnlauXJl22223CZbEqQkQIECAAAECBAgQIDA6AT1AR2fpSAQIECBAYKoFbr755rz8xe1UV0bhCRAgQIAAAQIECBAg8G8BAVCXAgECBAgQIECAAAECBAgQIECAAAECjRUQAG1s06oYAQIECBAgQIAAAQIECBAgQIAAAQICoK4BAgQIECBAgAABAgQIECBAgAABAgQaKyAA2timVTECBAgQIECAAAECBAgQIECAAAECBARAXQMECBAgQIAAAQIECBAgQIAAAQIECDRWQAC0sU2rYgQIECBAgAABAgQIECBAgAABAgQICIC6BggQIECAAAECBAgQIECAAAECBAgQaKyAAGhjm1bFCBAgQIAAAQIECBAgQIAAAQIECBAQAHUNECBAgAABAgQIECBAgAABAgQIECDQWAEB0MY2rYoRIECAAIHBBLbccsu0xRZbpJ122mmwHeUmQIAAAQIECBAgQIBAjQWW1LhsikaAAAECBAgsoMBGG22ULr744gU8o1MRIECAAAECBAgQIEBg/AJ6gI7f2BkIECBAgAABAgQIECBAgAABAgQIEJiQgADohOCdlgABAgQIECBAgAABAgQIECBAgACB8QsIgI7f2BkIECBAgAABAgQIECBAgAABAgQIEJiQgADohOCdlgABAgQIECBAgAABAgQIECBAgACB8QsIgI7f2BkIECBAgAABAgQIECBAgAABAgQIEJiQgADohOCdlgABAgQIECBAgAABAgQIECBAgACB8QsIgI7f2BkIECBAgAABAgQIECBAgAABAgQIEJiQgADohOCdlgABAgQI1FHgjDPOSFdccUUdi6ZMBAgQIECAAAECBAgQGEpAAHQoNjsRIECAAIHmCZx77rlp1113Tfvtt1/zKqdGBAgQIECAAAECBAgsWgEB0EXb9CpOgAABAgTmCqxatSrfUNzOfdYjAgQIECBAgAABAgQITKeAAOh0tptSEyBAgAABAgQIECBAgAABAgQIECDQh4AAaB9IshAgQIAAAQIECBAgQIAAAQIECBAgMJ0CAqDT2W5KTYAAAQIECBAgQIAAAQIECBAgQIBAHwICoH0gyUKAAAECBAgQIECAAAECBAgQIECAwHQKCIBOZ7spNQECBAgQIECAAAECBAgQIECAAAECfQgIgPaBJAsBAgQIECBAgAABAgQIECBAgAABAtMpIAA6ne2m1AQIECBAgAABAgQIECBAgAABAgQI9CEgANoHkiwECBAgQIAAAQIECBAgQIAAAQIECEynwJLpLPZoS33TTTelK6+8Ml1++eXplre8Zdp0003TeuutN9qTOBoBAgQIECBAgAABAgQIECBAgAABAgsuMDU9QI8//vi00UYbzf5bsWLFvLD++te/ppNOOintsMMOae211073vOc906Me9aj0kIc8JK2//vrp9re/fdprr73Sz3/+867nueKKK2bLVJTvgAMO6LpP1ZNHHnnknOPssccebdne+973zslTnG+Q29///vdtx7WBAAECBAiEQLz/Rdpggw3yW/8RIECAAAECBAgQIECgCQJT0wP0gx/8YPrd7343a/6BD3wgxb9h0pe+9KX07Gc/O61cubLj7n/84x/T8uXL0yc+8Yn03Oc+N8X5b3GLW7Tlv/nmm+eUKzKceOKJ6fDDD0+rr95/fPmEE06Yc5zrr7++7Vw33HDDnDxtGfrYEOWVCBAgQIBAlcDWW2+d4gfGTTbZpOpp2wgQIECAAAECBAgQIDCVAlMRAP3JT36SzjvvvBw4hqZfe+21eXDyHe94R1pnnXUGgj/kkEPSoYcemopAYAx533333dN973vf/AvfX/7yl/TrX/86feYzn8l7f/7zn/9M0fv0z3/+czr11FPTGmus0fN8V199dfrOd76THvGIR/TMGxkuvPDCdNFFF/WVt8h0xzveMd3tbncrHvZ9u2TJVDR53/WRkQABAgRGK7DVVluN9oCORoAAAQIECBAgQIAAgQkLTEU0LAKQkaIH5sEHH5z222+/PCB58sknp3333bdvwjhO7F+kl7/85WnZsmUpgonlFEHSyB/HjyDoaaedlg8/P+aYY8pZZx/f+ta3TtFLM9KnPvWpvgOg0cs00mqrrZZmZmby+73+e9aznpWOOuqoXtk8T4AAAQIEJioQ76Hf//7306WXXpqPjNhss83SNttsk7/nTbRgTk6AAAECBAgQIECAwKIR6H+M9oRI/v73v6cIdEbafvvtUwT+iqHoMSy93xS9Ol/5ylfOZo8h6scee2xl8DMyRU/PF77whelDH/rQ7D4x5D4WSuqUtthii3wBpXg+epAWvUw75S+2f/KTn8zvPuxhDys2uSVAgAABAlMtEO/fRxxxRNpwww1TvL/tueee6ZnPfGZ68IMfnDbeeOMU81r3+z451RAKT4AAAQIECBAgQIDAxAVqHwD9/Oc/n6655pocauedd053uMMdUtxGinnKzjnnnPx+r/8OPPDAtGrVqjzbrrvumuJxP+n5z39+evSjH51n/cc//pHe8573dNwtenA+/elPz5+PYfDf/va3O+YtnvjBD36QfvWrX+UP44uhRIAAAQIEpl0g5rF+7GMfm2JRwJi2ppyuuuqqfDTHk570pBRTz0gECBAgQIAAAQIECBAYp0DtA6DHHXfcbP132WWX/H4sYFSkfhZC+tOf/pQikBopgpQxD+gg6bWvfW267W1vmwdeN+mxMEQRAI3jxzD4XqkY/h7zeeoB2kvL8wQIECBQd4GYymWPPfbo60fAs846K+2zzz51r5LyESBAgAABAgQIECAw5QK1DoD+5je/SbFie6QYXn7/+98/v//kJz853f72t8/vx9ycVb1L8if//d9nP/vZdOONN+aP7nWve80epzVPt/tPeMITUvRmiS9qr3jFK7plzY8dZY3Uaxh8fEksgqTPeMYzBlo1vmshPEmAAAECBCYkcMopp6SvfOUrfZ89poEp3uv73klGAgQIECBAgAABAgQIDCBQ6wDoxz/+8XwBoqjPc5/73Nlqrb322ikChpH+9re/pY997GOzz1XdaR2KHqu9D5NWX71/qqIX6G9/+9v0rW99q+PpYqX4K664In/e8PeOTJ4gQIAAgSkSeP/73z9wad/3vvcNvI8dCBAgQIAAAQIECBAg0K/Akn4zLnS+6B1ZBDYj+Ng67D3Ksvfee6diEaRYqOg1r3lNxxVloydpkYYNgBb793MbQ/+KYfbRQ3WHHXao3K0Y/h49Rh/wgAekCy64oDJf1cbf//736cc//nHVUx23Re/XWKl+1OmXv/xluuSSS0Zy2BtuuGEkx3EQAgQIEPiXQKzA/qY3vSn9+c9/7oskFiYa5Ee/1oPGvnG+QdOZZ56Zli5dOuhutckf0+s89KEPTUceeeTQdrWpjIIQIECAAAECBAgQaKBAbQOgZ5999uziQI9//OPTXe5ylzn82223XbrPfe6TLr744jzfl7/85bTjjjvOyVM8iMUWirQQAdA4x/3ud7904YUX5sPgjznmmLYvRP/85z9TBEcjDdP7c/ny5Sn+DZKiJ+z2228/yC4980YP3K233jr99a9/7Zl3kAwRtI55USUCBAgQmJ/A61//+vSNb3xjfgcZ894ROP3e97435rOM9/Df/e530xOf+MR88afxnsnRCRAgQIAAAQIECBAYVKC2AdDjjz9+ti7Pe97zZu+33ont8cUuUiyG1CkA+oc//GF2t7ve9a6z98d5J4bBRwA0hsFHMPdRj3rUnNN9/etfTytXrsy3FcP552SYkgdrrbVWeulLX5rXdRRF/uIXv5gfJnoASwQIECAwf4FYYK/uAdD513LyR1h33XXzH2YnXxIlIECAAAECBAgQIECgLFDLAGis2v7pT386L+vtbne7tOuuu5bLnT+OYfFveMMb8nlCY5X36DVY7ikaGTfYYIN0+eWX5/u0BkPzDWP6LwKgy5Yty48ePT3LAdBi+PuDHvSgtPnmmw9cihhqt/POOw+037h6VMaQv1GlJUuW5O0ZwwklAgQIEJi/wFvf+tb0rGc9q68h8Oedd16+2N+2226bjj322IFPHj9exUKFvRYnLB/4nve858CjGsrHmOTjeM+K9/IIgkoECBAgQIAAAQIECNRPoJYB0FgR9i9/+UuuFV+KTjjhhI5y0aPzsssuy4NmH/nIR9LBBx/clnejjTaa3XbNNdfM3h/nnZhv84EPfGD60Y9+lA+Djy+SxZxqf//731OsTB9pmOHvsV8EQA866KC4KxEgQIAAga4CW265ZdfniyeLeZjjx8d4nxkm7bnnnimmfhkkxbzew55vkPPIS4AAAQIECBAgQIDA4hSoZQD0uOOOm22NCCDuu+++s4+73fnoRz+aL/QQvQhbU2vPx5/97GetT431fvQCjfL/7ne/mzMM/ktf+lK6/vrr80WbihXjx1oQBydAgAABAgskcOCBB+aLGPa76NKGG26Y9zpdoOI5DQECBAgQIECAAAECi1Bg9brV+aKLLkrnnnvuUMWKIfCf+9zn2vZtnRs0FksaNMWQvug9E4sxHX744XlAs59jxGrwRfrUpz5V3E3F8PeHP/zhaaHmJJ09uTsECBAgQGCMAjHq4tRTT03lHyOrTrn22mvnoyRue9vbVj1tGwECBAgQIECAAAECBEYiULsA6Mc+9rHZir3mNa/Je0pGb8lu/172spfN7vPBD35w9n5xJwKg8SUr0gUXXJAuvfTS4qm+br/zne+kn/70p+krX/lKOuyww9Kaa67Z1373uMc9UqxWHymGvMcqt7Fa+hlnnJFvG3b4e76z/wgQIECAQE0FYjX0eM+8+93v3rGE9773vdO3v/3ttP3223fM4wkCBAgQIECAAAECBAiMQqBWAdCbbropnXTSSbP12meffdLtb3/7nv9e9KIXze4TX7h+9atfzT6OO7e61a3yRRnifvTmPOCAA+Ju3+n973//bN7o1TnIIgfFEPcYBv+tb30rnXXWWWnVqlV5z5jdd9999rjuECBAgACBJgnssMMO6ec//3k+j3e8d8bCSvGjYCzIFD1EL7zwwrTNNts0qcrqQoAAAQIECBAgQIBATQVqFQA988wz08qVK3OqWB39vve9b19s97///fMvVpE5ApxVvUBj6Ppaa62VHy+Go59yyil9HTuOFV/UivTiF7+4uNvX7dOe9rR8rs/I/JnPfCYVQ+Ef97jH5avT93UQmQgQIECAwBQKxPvuc5/73BSLG8YK8zHFzfLly9MznvGMvobIT2GVFZkAAQIECBAgQIAAgRoK1CoAevzxx88SPfvZz56938+d6C1apFg1/sYbbywe5rebbbZZ2n///We37bXXXvlw9r/97W+z21rvRG/Uo48+es7CDBH8XLp0aWu2nvdjjs+HPexheb4YBv+FL3whvx9f/iQCBAgQIECAAAECBAgQIECAAAECBMYrMHe59PGeq+vRr7766nx4eGRaY4010qDzY8aQupgzNObYvPbaa9Npp52WykHUgw46KB8eH89FT9Fly5alY489Nj3vec9LD3jAA9LGG2+crrrqqhQrxUcPlV/+8pezZX7CE56Q3ve+980+HuRODIOPeURjkaZIMR/pbrvtNsgh2vLGPKKt5WvL0GFD9Dx91ate1eFZmwkQIECAAAECBAgQIECAAAECBAg0S6A2AdATTzwx/fOf/8x1Y7X1DTfccCDp293udumpT31qOvnkk/P9PvCBD7QFQGMoXqzAHivURuAzUgy5f8c73pHfr/pvtdVWy4fqffjDH84Ds1V5em2LuT4j6BiLIEWKYOp8V7yNhZwGXcwpzr3BBhvEjUSAAAECBNoEipXbi9u2DDYQIECAAAECBAgQIEBgCgVqMwR+PsPfC/fWYfDf/e538xXfi+eK29VXXz0dc8wx6aKLLkr77rtvuvWtb108Nec2vvztsssu6fzzz8/nC73NbW4z5/lBHtzpTndKj3zkI2d3GbR36+yO7hAgQIAAgTEKxDQvMTrizW9+8xjP4tAECBAgQIAAAQIECBBYWIHVsqHgMwt7ynqdLeb6jKHpV155Zf5vnXXWSZtvvnm6xz3uYYGGCTRVBJ6jJ/A555wz8HyrEyiuUxIgQIAAAQIECBAgQIAAAQIEFkxg2223zTvr/eAHP0jbbLPNgp132k9UmyHwk4K8xS1ukTbZZJP836TK4LwECBAgQIAAAQIECBAgQIAAAQIECIxHoDZD4MdTPUclQIAAAQIECBAgQIAAAQIECBAgQGAxCwiALubWV3cCBAgQIECAAAECBAgQIECAAAECDRcQAG14A6seAQIECBAgQIAAAQIECBAgQIAAgcUsIAC6mFtf3QkQIECAAAECBAgQIECAAAECBAg0XEAAtOENrHoECBAgQIAAAQIECBAgQIAAAQIEFrOAAOhibn11J0CAAAECBAgQIECAAAECBAgQINBwAQHQhjew6hEgQIAAgX4FVq1alfbaa690+umn97uLfAQIECBAgAABAgQIEKi9wJLal1ABCRAgQIAAgQUROO+889Ly5cvTypUr02677bYg53QSAgQIECBAgAABAgQIjFtAD9BxCzs+AQIECBCYEoGbb745L2lxOyXFVkwCBAgQIECAAAECBAh0FRAA7crjSQIECBAgQIAAAQIECBAgQIAAAQIEpllAAHSaW0/ZCRAgQIAAAQIECBAgQIAAAQIECBDoKiAA2pXHkwQIECBAgAABAgQIECBAgAABAgQITLOAAOg0t56yEyBAgAABAgQIECBAgAABAgQIECDQVUAAtCuPJwkQIECAAAECBAgQIECAAAECBAgQmGYBAdBpbj1lJ0CAAAECBAgQIECAAAECBAgQIECgq4AAaFceTxIgQIAAAQIECBAgQIAAAQIECBAgMM0CAqDT3HrKToAAAQIECBAgQIAAAQIECBAgQIBAVwEB0K48niRAgAABAgQIECBAgAABAgQIECBAYJoFBECnufWUnQABAgQIjFBgyy23TFtssUXaaaedRnhUhyJAgAABAgQIECBAgMBkBZZM9vTOToAAAQIECNRFYKONNkoXX3xxXYqjHAQIECBAgAABAgQIEBiJgB6gI2F0EAIECBAgQIAAAQIECBAgQIAAAQIE6iggAFrHVlEmAgQIECBAgAABAgQIECBAgAABAgRGIiAAOhJGByFAgAABAgQIECBAgAABAgQIECBAoI4CAqB1bBVlIkCAAAECBAgQIECAAAECBAgQIEBgJAICoCNhdBACBAgQIECAAAECBAgQIECAAAECBOooIABax1ZRJgIECBAgQIAAAQIECBAgQIAAAQIERiIgADoSRgchQIAAAQIECBAgQIAAAQIECBAgQKCOAgKgdWwVZSJAgAABAhMSOOOMM9IVV1wxobM7LQECBAgQIECAAAECBEYvIAA6elNHJECAAAECUylw7rnnpl133TXtt99+U1l+hSZAgAABAgQIECBAgECVgABolYptBAgQIEBgEQqsWrUqr3VxuwgJVJkAAQIECBAgQIAAgQYKCIA2sFFViQABAgQIECBAgAABAgQIECBAgACBfwkIgLoSCBAgQIAAAQIECBAgQIAAAQIECBBorIAAaGObVsUIECBAgAABAgQIECBAgAABAgQIEBAAdQ0QIECAAAECBAgQIECAAAECBAgQINBYAQHQxjatihEgQIAAAQIECBAgQIAAAQIECBAgIADqGiBAgAABAgQIECBAgAABAgQIECBAoLECAqCNbVoVI0CAAAECBAgQIECAAAECBAgQIEBAANQ1QIAAAQIECBAgQIAAAQIECBAgQIBAYwUEQBvbtCpGgAABAgQIECBAgAABAgQIECBAgIAAqGuAAAECBAgQyAXWX3/9/HaDDTYgQoAAAQIECBAgQIAAgcYILGlMTVSEAAECBAgQmJfA1ltvnVasWJE22WSTeR3HzgQIECBAgAABAgQIEKiTgABonVpDWQgQIECAwIQFttpqqwmXwOkJECBAgAABAgQIECAwWgFD4Efr6WgECBAgQIAAAQIECBAgQIAAAQIECNRIQAC0Ro2hKAQIECBAgAABAgQIECBAgAABAgQIjFZAAHS0no5GgAABAgQIECBAgAABAgQIECBAgECNBARAa9QYikKAAAECBAgQIECAAAECBAgQIECAwGgFBEBH6+loBAgQIECAAAECBAgQIECAAAECBAjUSEAAtEaNoSgECBAgQIAAAQIECBAgQIAAAQIECIxWQAB0tJ6ORoAAAQIEplrgpptumuryKzwBAgQIECBAgAABAgTKAgKgZRGPCRAgQIDAIhW49NJL07rrrpv233//RSqg2gQIECBAgAABAgQINFFAALSJrapOBAgQIEBgCIFLLrkk3XDDDWnFihVD7G0XAgQIECBAgAABAgQI1FNAALSe7aJUBAgQIECAAAECBAgQIECAAAECBAiMQEAAdASIDkGAAAECBAgQIECAAAECBAgQIECAQD0FBEDr2S5KRYAAAQIECBAgQIAAAQIECBAgQIDACAQEQEeA6BAECBAgQIAAAQIECBAgQIAAAQIECNRTQAC0nu2iVAQIECBAgAABAgQIECBAgAABAgQIjEBAAHQEiA5BgAABAgQIECBAgAABAgQIECBAgEA9BQRA69kuSkWAAAECBAgQIECAAAECBAgQIECAwAgEBEBHgOgQBAgQIECAAAECBAgQIECAAAECBAjUU0AAtJ7tolQECBAgQIAAAQIECBAgQIAAAQIECIxAQAB0BIgOQYAAAQIEmiCwZMmSvBrFbRPqpA4ECBAgQIAAAQIECBD41zcdDgQIECBAgMCiF1i6dGlatmxZ2nnnnRe9BQACBAgQIECAAAECBJojIADanLZUEwIECBAgMC+BNddcMx166KHzOoadCRAgQIAAAQIECBAgUDcBQ+Dr1iLKQ4AAAQIECBAgQIAAAQIECBAgQIDAyAQEQEdG6UAECBAgQIAAAQIECBAgQIAAAQIECNRNQAC0bi2iPAQIECBAgAABAgQIECBAgAABAgQIjExAAHRklA5EgAABAgQIECBAgAABAgQIECBAgEDdBARA69YiykOAAAECBAgQIEDg/7N3L2BW1nUewH/ohHjLUFDygpOlooiYeEOftSwLLE3IbdUWM61tLcOKzHa3yCJvpem2tl1NdzWymxKZW6aurbtZiFiNFt4CFdNHFK8ziiLj+n/rHIdhGM6ZOXPOe97zeZ9nPO953//185/nAb6+FwIECBAgQIAAAQI1ExCA1oxSQwQIECBAgAABAgQIECBAgAABAgQI5E1AAJq3FTEeAgQIECBAgAABAgQIECBAgAABAgRqJiAArRmlhggQIECAQHMLdHZ2xowZM2LevHnNPRGjJ0CAAAECBAgQIECAQA+Bth77dgkQIECAAIEWFli4cGHMnTs3li9fHtOnT29hCVMnQIAAAQIECBAgQKBIAq4ALdJqmgsBAgQIEBiEQHd3d1a79DmIplQlQIAAAQIECBAgQIBAbgQEoLlZCgMhQIAAAQIECBAgQIAAAQIECBAgQKDWAgLQWotqjwABAgQIECBAgAABAgQIECBAgACB3AgIQHOzFAZCgAABAgQIECBAgAABAgQIECBAgECtBQSgtRbVHgECBAgQIECAAAECBAgQIECAAAECuREQgOZmKQyEAAECBAgQIECAAAECBAgQIECAAIFaCwhAay2qPQIECBAgQIAAAQIECBAgQIAAAQIEciMgAM3NUhgIAQIECBAgQIAAAQIECBAgQIAAAQK1FhCA1lpUewQIECBAgAABAgQIECBAgAABAgQI5EZAAJqbpTAQAgQIECBAgAABAgQIECBAgAABAgRqLSAArbWo9ggQIECAQJMKjB8/PsaNGxdTpkxp0hkYNgECBAgQIECAAAECBNYWaFv7kCMECBAgQIBAKwqMGTMmFi9e3IpTN2cCBAgQIECAAAECBAos4ArQAi+uqREgQIAAAQIECBAgQIAAAQIECBBodQEBaKv/Bpg/AQIECBAgQIAAAQIECBAgQIAAgQILCEALvLimRoAAAQIECBAgQIAAAQIECBAgQKDVBQSgrf4bYP4ECBAgQIAAAQIECBAgQIAAAQIECiwgAC3w4poaAQIECBAgQIAAAQIECBAgQIAAgVYXEIC2+m+A+RMgQIAAAQIECBAgQIAAAQIECBAosIAAtMCLa2oECBAgQIAAAQIECBAgQIAAAQIEWl1AANrqvwHmT4AAAQIEegjMnz8/li1b1uOIXQIECBAgQIAAAQIECDS3gAC0udfP6AkQIECAQM0EFixYENOmTYuZM2fWrE0NESBAgAABAgQIECBAoNECAtBGr4D+CRAgQIBATgQ6OzuzkZQ+czIswyBAgAABAgQIECBAgMCgBASgg+JTmQABAgQIECBAgAABAgQIECBAgACBPAsIQPO8OsZGgAABAgQIECBAgAABAgQIECBAgMCgBASgg+JTmQABAgQIECBAgAABAgQIECBAgACBPAsIQPO8OsZGgAABAgQIECBAgAABAgQIECBAgMCgBASgg+JTmQABAgQIECBAgAABAgQIECBAgACBPAsIQPO8OsZGgAABAgQIECBAgAABAgQIECBAgMCgBASgg+JTmQABAgQIECBAgAABAgQIECBAgACBPAsIQPO8OsZGgAABAgQIECBAgAABAgQIECBAgMCgBASgg+JTmQABAgQIECBAgAABAgQIECBAgACBPAsIQPO8OsZGgAABAgTqKDBq1Kist9GjR9exV10RIECAAAECBAgQIEBgaAXahrZ5rRMgQIAAAQLNIjBx4sTo6OiI9vb2ZhmycRIgQIAAAQIECBAgQGC9AgLQ9RIpQIAAAQIEWkdgwoQJrTNZMyVAgAABAgQIECBAoCUE3ALfEstskgQIECBAgAABAgQIECBAgAABAgRaU0AA2prrbtYECBAgQIAAAQIECBAgQIAAAQIEWkJAANoSy2ySBAgQIECAAAECBAgQIECAAAECBFpTQADamutu1gQIECBAgAABAgQIECBAgAABAgRaQkAA2hLLbJIECBAgQIAAAQIECBAgQIAAAQIEWlNAANqa627WBAgQIECAAAECBAgQIECAAAECBFpCQADaEstskgQIECBAoDKBVatWVVZQKQIECBAgQIAAAQIECDSJgAC0SRbKMAkQIECAwFALLF26NEaOHBmzZs0a6q60T4AAAQIECBAgQIAAgboJCEDrRq0jAgQIECCQb4ElS5ZEV1dXdHR05HugRkeAAAECBAgQIECAAIEqBASgVWApSoAAAQIECBAgQIAAAQIECBAgQIBAcwkIQJtrvYyWAAECBAgQIECAAAECBAgQIECAAIEqBASgVWApSoAAAQIECBAgQIAAAQIECBAgQIBAcwkIQJtrvYyWAAECBAgQIECAAAECBAgQIECAAIEqBASgVWApSoAAAQIECBAgQIAAAQIECBAgQIBAcwkIQJtrvYyWAAECBAgQIECAAAECBAgQIECAAIEqBASgVWApSoAAAQIECBAgQIAAAQIECBAgQIBAcwkIQJtrvYyWAAECBAgQIECAAAECBAgQIECAAIEqBASgVWApSoAAAQIECBAgQIAAAQIECBAgQIBAcwkIQJtrvYyWAAECBAgMmUBbW1vWdulzyDrSMAECBAgQIECAAAECBOoo8Jd/6dSxQ10RIECAAAEC+RSYPHlyzJ49O6ZOnZrPARoVAQIECBAgQIAAAQIEBiAgAB0AmioECBAgQKCIAsOHD485c+YUcWrmRIAAAQIECBAgQIBACwu4Bb6FF9/UCRAgQIAAAQIECBAgQIAAAQIECBRdQABa9BU2PwIECBAgQIAAAQIECBAgQIAAAQItLCAAbeHFN3UCBAgQIECAAAECBAgQIECAAAECRRcQgBZ9hc2PAAECBAgQIECAAAECBAgQIECAQAsLCEBbePFNnQABAgQIECBAgAABAgQIECBAgEDRBQSgRV9h8yNAgAABAgQIECBAgAABAgQIECDQwgIC0BZefFMnQIAAAQIECBAgQIAAAQIECBAgUHQBAWjRV9j8CBAgQIBAhQKdnZ0xY8aMmDdvXoU1FCNAgAABAgQIECBAgED+BdryP0QjJECAAAECBOohsHDhwpg7d24sX748pk+fXo8u9UGAAAECBAgQIECAAIEhF3AF6JAT64AAAQIECDSHQHd3dzbQ0mdzjNooCRAgQIAAAQIECBAg0L+AALR/H2cJECBAgAABAgQIECBAgAABAgQIEGhiAQFoEy+eoRMgQIAAAQIECBAgQIAAAQIECBAg0L+AALR/H2cJECBAgAABAgQIECBAgAABAgQIEGhiAQFoEy+eoRMgQIAAAQIECBAgQIAAAQIECBAg0L+AALR/H2cJECBAgAABAgQIECBAgAABAgQIEGhiAQFoEy+eoRMgQIAAAQIECBAgQIAAAQIECBAg0L+AALR/H2cJECBAgAABAgQIECBAgAABAgQIEGhiAQFoEy+eoRMgQIAAAQIECBAgQIAAAQIECBAg0L+AALR/H2cJECBAgAABAgQIECBAgAABAgQIEGhiAQFoEy+eoRMgQIAAgVoKjB8/PsaNGxdTpkypZbPaIkCAAAECBAgQIECAQEMF2hrau84JECBAgACB3AiMGTMmFi9enJvxGAgBAgQIECBAgAABAgRqIeAK0FooaoMAAQIECBAgQIAAAQIECBAgQIAAgVwKCEBzuSwGRYAAAQIECBAgQIAAAQIECBAgQIBALQQEoLVQ1AYBAgQIECBAgAABAgQIECBAgAABArkUEIDmclkMigABAgQIECBAgAABAgQIECBAgACBWggIQGuhqA0CBAgQIECAAAECBAgQIECAAAECBHIpIADN5bIYFAECBAgQIECAAAECBAgQIECAAAECtRAQgNZCURsECBAgQIAAAQIECBAgQIAAAQIECORSQACay2UxKAIECBAg0BiB+fPnx7JlyxrTuV4JECBAgAABAgQIECAwBAIC0CFA1SQBAgQIEGhGgQULFsS0adNi5syZzTh8YyZAgAABAgQIECBAgECfAgLQPlkcJECAAAECrSfQ2dmZTbr02XoCZkyAAAECBAgQIECAQBEFBKBFXFVzIkCAAAECBAgQIECAAAECBAgQIEAgExCA+kUgQIAAAQIECBAgQIAAAQIECBAgQKCwAgLQwi6tiREgQIAAAQIECBAgQIAAAQIECBAgIAD1O0CAAAECBAgQIECAAAECBAgQIECAQGEFBKCFXVoTI0CAAAECBAgQIECAAAECBAgQIEBAAOp3gAABAgQIECBAgAABAgQIECBAgACBwgoIQAu7tCZGgAABAgQIECBAgAABAgQIECBAgIAA1O8AAQIECBAgQIAAAQIECBAgQIAAAQKFFRCAFnZpTYwAAQIECBAgQIAAAQIECBAgQIAAAQGo3wECBAgQIEAgExg1alT2OXr0aCIECBAgQIAAAQIECBAojEBbYWZiIgQIECBAgMCgBCZOnBgdHR3R3t4+qHZUJkCAAAECBAgQIECAQJ4EBKB5Wg1jIUCAAAECDRaYMGFCg0egewIECBAgQIAAAQIECNRWwC3wtfXUGgECBAgQIECAAAECBAgQIECAAAECORIQgOZoMQyFAAECBAgQIECAAAECBAgQIECAAIHaCghAa+upNQIECBAgQIAAAQIECBAgQIAAAQIEciQgAM3RYhgKAQIECBAgQIAAAQIECBAgQIAAAQK1FRCA1tZTawQIECBAgAABAgQIECBAgAABAgQI5EhAAJqjxTAUAgQIECBAgAABAgQIECBAgAABAgRqKyAAra2n1ggQIECAQFMLrFq1qqnHb/AECBAgQIAAAQIECBDoLSAA7S3iOwECBAgQaFGBpUuXxsiRI2PWrFktKmDaBAgQIECAAAECBAgUUUAAWsRVNScCBAgQIDAAgSVLlkRXV1d0dHQMoLYqBAgQIECAAAECBAgQyKeAADSf62JUBAgQIECAAAECBAgQIECAAAECBAjUQEAAWgNETRAgQIAAAQIECBAgQIAAAQIECBAgkE8BAWg+18WoCBAgQIAAAQIECBAgQIAAAQIECBCogYAAtAaImiBAgAABAgQIECBAgAABAgQIECBAIJ8CAtB8rotRESBAgAABAgQIECBAgAABAgQIECBQAwEBaA0QNUGAAAECBAgQIECAAAECBAgQIECAQD4FBKD5XBejIkCAAAECBAgQIECAAAECBAgQIECgBgIC0BogaoIAAQIECBAgQIAAAQIECBAgQIAAgXwKCEDzuS5GRYAAAQIECBAgQIAAAQIECBAgQIBADQQEoDVA1AQBAgQIECiCQFtbWzaN0mcR5mQOBAgQIECAAAECBAgQ+Mu/dDgQIECAAAECLS8wefLkmD17dkydOrXlLQAQIECAAAECBAgQIFAcAQFocdbSTAgQIECAwKAEhg8fHnPmzBlUGyoTIECAAAECBAgQIEAgbwJugc/bihgPAQIECBAgQIAAAQIECBAgQIAAAQI1ExCA1oxSQwQIECBAgAABAgQIECBAgAABAgQI5E1AAJq3FTEeAgQIECBAgAABAgQIECBAgAABAgRqJiAArRmlhggQIECAAAECBAgQIECAAAECBAgQyJuAADRvK2I8BAgQIECAAAECBAgQIECAAAECBAjUTEAAWjNKDREgQIAAAQIECBAgQIAAAQIECBAgkDcBAWjeVsR4CBAgQIAAAQIECBAgQIAAAQIECBComYAAtGaUGiJAgAABAs0t0NnZGTNmzIh58+Y190SMngABAgQIECBAgAABAj0E2nrs231JYPXq1bHXXnvFI488knm89a1vjUsvvbRimzPPPDMuvPDCdZbfYIMNYuONN45NNtkkdthhh5g0aVKcfPLJMWbMmHXWKZ34yle+EmeccUbp64A+b7vtthg9evSA6qpEgAABAsUWWLhwYcydOzeWL18e06dPL/ZkzY4AAQIECBAgQIAAgZYREID2Wuprrrkmbr/99vLRyy+/PM4+++zYbrvtysf620lXzzz88MP9FSmfS/387Gc/iy996Uvx/ve/Pz75yU/2209XV1fFbZc76bXT3d3d64ivBAgQIEDgLwKlPyNKn1wIECBAgAABAgQIECBQBAEBaK9VvPjii7MjW221VaxYsSJeeOGF+Na3vhWf/exne5Vc/9dtt9020k/PLV1h+vTTT8eTTz5Zvsr02Wefza4a/fa3vx2/+MUv4qCDDupZpc/9rbfeOsaOHdvnuf4OtrVZ8v58nCNAgAABAgQIECBAgAABAgQIECiWgDSsx3o++uij8ZOf/CQ7kq7I/MEPfhBLly6Niy66KD796U9HteHhBz7wgTj99NN79LDm7oMPPhjf//73szIpFH3mmWfiiCOOiF/96lex2267rVm417d3v/vdccEFF/Q66isBAgQIECBAoHkEHnroobjlllvisccei1GjRsX++++ffTbPDIyUAAECBAgQIECgGQS8BKnHKl122WWxatWq7Mhhhx0W73znO7P9P//5z3HVVVf1KFmb3XR16Mc+9rFIz+UsXSn6+OOPx4c//OHadKAVAgQIECBAgEAOBX73u99Fes56+vvPO97xjnjve98bhx9+eGyzzTYxbdq0uPPOO3M4akMiQIAAAQIECBBoVgEBaI+VK93+vvnmm8eBBx4Y6SrL0va1r32ttFvzzx133DF74+7w4cOztv/7v/870o+NAAECBAgQIFA0gfSirf322y+uvfbataaWnj87f/782HvvvePqq69e67wDBAgQIECAAAECBAYiIAD9q1p6823p5UeHHnpovOIVr8j+8r377rtnJa677rq45557BmJcUZ30D4HSFaepQnoeqI0AAQIECBAgUCSBG264IY4//vjyHTfrmlt6LNDf/u3fxm9/+9t1FXGcAAECBAgQIECAQMUCAtC/UvUMHI8++ugy4Hve855s/8UXX4yvf/3r5eNDsXPCCSeUm73++uvL+3YIECBAgAABAs0ukF4E+aEPfSjSZyXbypUr4+STT66kqDIECBAgQIAAAQIE+hUQgL7Ek97C/r3vfS+DetWrXhVHHnlkGe24446LDTfcMPv+H//xH5H+Mj5UW+nK09T+ww8/7PlXQwWtXQIECBAgQKDuAunxPnfccUdV/f7617+O9LxQGwECBAgQIECAAIHBCHgL/Et6V1xxRTz55JOZY7r6c8SIEWXT9HD+9JD+n/3sZ7FixYr44Q9/GCkUHYptgw02iK233jrSS5fSlt4Sv+uuu/bZ1SOPPFL1Pwh23nnn2HTTTftsbzAH77777liyZMlgmijXTVfa2uonkML/U045pfz4h/r1rCcCBPIoUPqzMD0WZvLkyXkcojE1scD9998/oNGn/zFdelnkgBpQiQABAgQIDELgta99bXzlK1+JdLGUjQCB5hUQgL60dj1vf09vIe29pWMpAE1behnSUAWgqf0xY8aUA9BHH300HepzSy8QSD/VbP/3f/8XBx10UDVV1lv2ueeei4kTJ2ZX0a63cBUFurq6qiit6EAFfvSjH8VFF1000OrqESBQUIGnnnoqfvOb3xR0dqbVbAIpOB1oeNpsczVeAgQIEMifQPo7UXo536xZs/I3OCMiQKBigZYPQNOVi//zP/+TgaWrLQ844IC18NKVByNHjozHH3880q1Yv//977PQb62CNTiw2WablVtphhBwo402yp7nVXqBVHnwA9y55pprspqbbLLJAFtQrRqBvfbaKzbeeOOaB9jVjEFZAgQIECBAgAABAgQI5FUgvSB53333zevwjIsAgQoFWj4AveSSS6J023VfV38mxxTyHXvssfHVr341Y00vQ0pXgg7Fdt9995Wb3WGHHcr7vXdSUDt16tTeh/v9Pnbs2H7PD/TkeeedN9Cqa9Vra2vLXo4wbNiwtc45UHuBCRMmxL333luzRxjUfoRaJECAAIGiCFx55ZVx7rnnVj2ds846Kw455JCq66lAgAABAgRqIZD+He1RLLWQ1AaBxgq0dADa3d0d6cVGpe2ZZ55Z55ve0/M5S9t3vvOd+OIXvxibb7556VBNPletWhXLli0rt7XTTjuV93vvpAD09NNP733YdwJVC6TnzqYfGwECBAgQGEqB9vb2+PKXvxzPP/98xd288pWvjJkzZ0bPO2QqrqwgAQIECBAgQIAAgb8KtHQA+otf/CIeeOCB8i/D5z//+fJ+fzudnZ2RQtAPfvCD/RWr+ly6Em/16tVZvXQlZH9XgFbduAoECBAgQIAAgQYKpOecf+QjH6nqKtBPf/rTws8GrpmuCRAgQIAAAQJFEXj5ssaizKiKeVx88cVVlF6zaLoNvtZbept6aUvhZwpBbQQIECBAgACBogicccYZ8YY3vKGi6UybNi0+/vGPV1RWIQIECBAgQIAAAQL9CbRsALpixYqYP39+ZjNixIjs1vP0kqP+fv70pz9FegBy2jo6OuKmm27K9mv1nwsuuKDc1GGHHVbet0OAAAECBAgQKILA8OHD4+c//3n8wz/8Q6zred8bbrhhFnz+8Ic/jJ6PICrC/M2BAAECBAgQIECgMQIte4lhuoW99AyqcQWNyAAAQABJREFUI444Irbffvv1rsCrXvWqOPzww2PevHlZ2fQipAMPPHC99SopkMLY6667Liua/uJ/6qmnVlJNGQIECBAgQIBAUwmk//H8zW9+M0455ZTskUI333xzPPbYYzF69Ojs71UzZsyInXfeuanmZLAECBAgQIAAAQL5FmjZALTn7e/HHXdcxav0vve9rxyApisT0lWbo0aNqrh+XwUfeeSRNW7xOvroo+M1r3lNX0UdI0CAAAECBAgUQmCPPfaIc845pxBzMQkCBAgQIECAAIF8C7TkLfCLFi3KbmFPS5PCy6lTp1a8Sqnstttum5V/7rnn4pJLLqm4bu+CXV1dcf7552dXOaTb69O25ZZbert7byjfCRAgQIAAAQIECBAgQIAAAQIECAxQoCWvAP32t79d5kpXW5ae61k+2M9Ouj39+OOPj7PPPjsrlW7hSrer9/Ucq+9+97uxcOHCNVrr7u6O9Bb5Rx99NO68885I30vbVlttld0Gv8suu5QOrfMz3TLf86VJ6yzY68Shhx4aH/3oR3sd9ZUAAQIECPxFIP35svfee0d6GZ+NAAECBAgQIECAAAECRRBouQB05cqVcfnll5fXrprb30uVTjzxxHIAes8998S1114bb33rW0uny5933XVXpJ/1bSk8ffOb35xdDTphwoT1Fc/OL126NNJPtVt6vpaNAAECBAj0JbBgwYJIb94+8sgj48c//nFfRRwjQIAAAQIECBAgQIBA0wm0XAB65ZVXxhNPPJEtVLrScv/996960V73utfFwQcfHDfeeGNWN70Mqa8AtK+GU9iZrvTcbrvtshcv7bbbbpGeKzpu3Li+ijtGgAABAgTqJpDuUEhb6bNuHeuIAAECBAgQIECAAAECQygw7MWXtiFsX9MEqhJoa2uL1atXx0033RSTJ0+uqq7CBAgQIDA4geuvvz7So1LSXQnXXXfd4BpTmwABAgQIECBAgACBmgvss88+kd5tc8stt8SkSZNq3n5RG2zJlyAVdTHNiwABAgQIECBAgAABAgQIECBAgACBNQUEoGt6+EaAAAECBAgQIECAAAECBAgQIECAQIEEBKAFWkxTIUCAAAECBAgQIECAAAECBAgQIEBgTQEB6JoevhEgQIAAAQIECBAgQIAAAQIECBAgUCABAWiBFtNUCBAgQIAAAQIECBAgQIAAAQIECBBYU0AAuqaHbwQIECBAgAABAgQIECBAgAABAgQIFEhAAFqgxTQVAgQIECBAgAABAgQIECBAgAABAgTWFBCArunhGwECBAgQIECAAAECBAgQIECAAAECBRIQgBZoMU2FAAECBAgMRmDUqFFZ9dGjRw+mGXUJECBAgAABAgQIECCQK4G2XI3GYAgQIECAAIGGCUycODE6Ojqivb29YWPQMQECBAgQIECAAAECBGotIACttaj2CBAgQIBAEwtMmDChiUdv6AQIECBAgAABAgQIEFhbwC3wa5s4QoAAAQIECBAgQIAAAQIECBAgQIBAQQQEoAVZSNMgQIAAAQIECBAgQIAAAQIECBAgQGBtAQHo2iaOECBAgAABAgQIECBAgAABAgQIECBQEAEBaEEW0jQIECBAgAABAgQIECBAgAABAgQIEFhbQAC6tokjBAgQIECAAAECBAgQIECAAAECBAgUREAAWpCFNA0CBAgQIECAAAECBAgQIECAAAECBNYWEICubeIIAQIECBBoWYFVq1a17NxNnAABAgQIECBAgACBYgoIQIu5rmZFgAABAgSqFli6dGmMHDkyZs2aVXVdFQgQIECAAAECBAgQIJBXAQFoXlfGuAgQIECAQJ0FlixZEl1dXdHR0VHnnnVHgAABAgQIECBAgACBoRMQgA6drZYJECBAgAABAgQIECBAgAABAgQIEGiwgAC0wQugewIECBAgQIAAAQIECBAgQIAAAQIEhk5AADp0tlomQIAAAQIECBAgQIAAAQIECBAgQKDBAgLQBi+A7gkQIECAAAECBAgQIECAAAECBAgQGDoBAejQ2WqZAAECBAgQIECAAAECBAgQIECAAIEGCwhAG7wAuidAgAABAgQIECBAgAABAgQIECBAYOgEBKBDZ6tlAgQIECBAgAABAgQIECBAgAABAgQaLCAAbfAC6J4AAQIECBAgQIAAAQIECBAgQIAAgaETEIAOna2WCRAgQIAAAQIECBAgQIAAAQIECBBosIAAtMELoHsCBAgQIJAXgba2tmwopc+8jMs4CBAgQIAAAQIECBAgMBiBv/xLZzAtqEuAAAECBAgUQmDy5Mkxe/bsmDp1aiHmYxIECBAgQIAAAQIECBBIAgJQvwcECBAgQIBAJjB8+PCYM2cODQIECBAgQIAAAQIECBRKwC3whVpOkyFAgAABAgQIECBAgAABAgQIECBAoKeAALSnhn0CBAgQIECAAAECBAgQIECAAAECBAolIAAt1HKaDAECBAgQIECAAAECBAgQIECAAAECPQUEoD017BMgQIAAAQIECBAgQIAAAQIECBAgUCgBAWihltNkCBAgQIAAAQIECBAgQIAAAQIECBDoKSAA7alhnwABAgQIECBAgAABAgQIECBAgACBQgkIQAu1nCZDgAABAgQIECBAgAABAgQIECBAgEBPAQFoTw37BAgQIECghQU6OztjxowZMW/evBZWMHUCBAgQIECAAAECBIom0Fa0CZkPAQIECBAgMDCBhQsXxty5c2P58uUxffr0gTWiFgECBAgQIECAAAECBHIm4ArQnC2I4RAgQIAAgUYJdHd3Z12XPhs1Dv0SIECAAAECBAgQIECglgIC0FpqaosAAQIECBAgQIAAAQIECBAgQIAAgVwJCEBztRwGQ4AAAQIECBAgQIAAAQIECBAgQIBALQUEoLXU1BYBAgQIECBAgAABAgQIECBAgAABArkSEIDmajkMhgABAgQIECBAgAABAgQIECBAgACBWgoIQGupqS0CBAgQIECAAAECBAgQIECAAAECBHIlIADN1XIYDAECBAgQIECAAAECBAgQIECAAAECtRQQgNZSU1sECBAgQIAAAQIECBAgQIAAAQIECORKQACaq+UwGAIECBAgQIAAAQIECBAgQIAAAQIEaikgAK2lprYIECBAgAABAgQIECBAgAABAgQIEMiVgAA0V8thMAQIECBAoHEC48ePj3HjxsWUKVMaNwg9EyBAgAABAgQIECBAoMYCbTVuT3MECBAgQIBAkwqMGTMmFi9e3KSjN2wCBAgQIECAAAECBAj0LeAK0L5dHCVAgAABAgQIECBAgAABAgQIECBAoAACAtACLKIpECBAgAABAgQIECBAgAABAgQIECDQt4AAtG8XRwkQIECAAAECBAgQIECAAAECBAgQKICAALQAi2gKBAgQIECAAAECBAgQIECAAAECBAj0LSAA7dvFUQIECBAgQIAAAQIECBAgQIAAAQIECiAgAC3AIpoCAQIECBAgQIAAAQIECBAgQIAAAQJ9CwhA+3ZxlAABAgQIECBAgAABAgQIECBAgACBAggIQAuwiKZAgAABAgRqJTB//vxYtmxZrZrTDgECBAgQIECAAAECBBouIABt+BIYAAECBAgQyIfAggULYtq0aTFz5sx8DMgoCBAgQIAAAQIECBAgUAMBAWgNEDVBgAABAgSKINDZ2ZlNo/RZhDmZAwECBAgQIECAAAECBASgfgcIECBAgAABAgQIECBAgAABAgQIECisgAC0sEtrYgQIECBAgAABAgQIECBAgAABAgQICED9DhAgQIAAAQIECBAgQIAAAQIECBAgUFgBAWhhl9bECBAgQIAAAQIECBAgQIAAAQIECBAQgPodIECAAAECBAgQIECAAAECBAgQIECgsAIC0MIurYkRIECAAAECBAgQIECAAAECBAgQICAA9TtAgAABAgQIECBAgAABAgQIECBAgEBhBQSghV1aEyNAgAABAgQIECBAgAABAgQIECBAQADqd4AAAQIECBAgQIAAAQIECBAgQIAAgcIKCEALu7QmRoAAAQIEqhMYNWpUVmH06NHVVVSaAAECBAgQIECAAAECORZoy/HYDI0AAQIECBCoo8DEiROjo6Mj2tvb69irrggQIECAAAECBAgQIDC0AgLQofXVOgECBAgQaCqBCRMmNNV4DZYAAQIECBAgQIAAAQLrE3AL/PqEnCdAgAABAgQIECBAgAABAgQIECBAoGkFBKBNu3QGToAAAQIECBAgQIAAAQIECBAgQIDA+gQEoOsTcp4AAQIECBAgQIAAAQIECBAgQIAAgaYVEIA27dIZOAECBAgQIECAAAECBAgQIECAAAEC6xMQgK5PyHkCBAgQIECAAAECBAgQIECAAAECBJpWQADatEtn4AQIECBAgAABAgQIECBAgAABAgQIrE9AALo+IecJECBAgEALCaxataqFZmuqBAgQIECAAAECBAi0goAAtBVW2RwJECBAgEAFAkuXLo2RI0fGrFmzKiitCAECBAgQIECAAAECBJpDQADaHOtklAQIECBAYMgFlixZEl1dXdHR0THkfemAAAECBAgQIECAAAEC9RIQgNZLWj8ECBAgQIAAAQIECBAgQIAAAQIECNRdQABad3IdEiBAgAABAgQIECBAgAABAgQIECBQLwEBaL2k9UOAAAECBAgQIECAAAECBAgQIECAQN0FBKB1J9chAQIECBAgQIAAAQIECBAgQIAAAQL1EhCA1ktaPwQIECBAgAABAgQIECBAgAABAgQI1F1AAFp3ch0SIECAAAECBAgQIECAAAECBAgQIFAvAQFovaT1Q4AAAQIECBAgQIAAAQIECBAgQIBA3QUEoHUn1yEBAgQIECBAgAABAgQIECBAgAABAvUSEIDWS1o/BAgQIECAAAECBAgQIECAAAECBAjUXUAAWndyHRIgQIAAgXwKtLW1ZQMrfeZzlEZFgAABAgQIECBAgACB6gT+8i+d6uooTYAAAQIECBRQYPLkyTF79uyYOnVqAWdnSgQIECBAgAABAgQItKqAALRVV968CRAgQIBAL4Hhw4fHnDlzeh31lQABAgQIECBAgAABAs0t4Bb45l4/oydAgAABAgQIECBAgAABAgQIECBAoB8BAWg/OE4RIECAAAECBAgQIECAAAECBAgQINDcAgLQ5l4/oydAgAABAgQIECBAgAABAgQIECBAoB8BAWg/OE4RIECAAAECBAgQIECAAAECBAgQINDcAgLQ5l4/oydAgAABAgQIECBAgAABAgQIECBAoB8BAWg/OE4RIECAAAECBAgQIECAAAECBAgQINDcAgLQ5l4/oydAgAABAgQIECBAgAABAgQIECBAoB8BAWg/OE4RIECAAIFWEujs7IwZM2bEvHnzWmna5kqAAAECBAgQIECAQMEF2go+P9MjQIAAAQIEKhRYuHBhzJ07N5YvXx7Tp0+vsJZiBAgQIECAAAECBAgQyLeAK0DzvT5GR4AAAQIE6ibQ3d2d9VX6rFvHOiJAgAABAgQIECBAgMAQCghAhxBX0wQIECBAgAABAgQIECBAgAABAgQINFZAANpYf70TIECAAAECBAgQIECAAAECBAgQIDCEAgLQIcTVNAECBAgQIECAAAECBAgQIECAAAECjRUQgDbWX+8ECBAgQIAAAQIECBAgQIAAAQIECAyhgAB0CHE1TYAAAQIECBAgQIAAAQIECBAgQIBAYwUEoI311zsBAgQIECBAgAABAgQIECBAgAABAkMoIAAdQlxNEyBAgAABAgQIECBAgAABAgQIECDQWAEBaGP99U6AAAECBAgQIECAAAECBAgQIECAwBAKCECHEFfTBAgQIECAAAECBAgQIECAAAECBAg0VkAA2lh/vRMgQIAAgdwIjB8/PsaNGxdTpkzJzZgMhAABAgQIECBAgAABAoMVaBtsA+oTIECAAAECxRAYM2ZMLF68uBiTMQsCBAgQIECAAAECBAj8VcAVoH4VCBAgQIAAAQIECBAgQIAAAQIECBAorIAAtLBLa2IECBAgQIAAAQIECBAgQIAAAQIECAhA/Q4QIECAAAECBAgQIECAAAECBAgQIFBYAQFoYZfWxAgQIECAAAECBAgQIECAAAECBAgQEID6HSBAgAABAgQIECBAgAABAgQIECBAoLACAtDCLq2JESBAgAABAgQIECBAgAABAgQIECAgAPU7QIAAAQIECBAgQIAAAQIECBAgQIBAYQUEoIVdWhMjQIAAAQLVC8yfPz+WLVtWfUU1CBAgQIAAAQIECBAgkFMBAWhOF8awCBAgQIBAvQUWLFgQ06ZNi5kzZ9a7a/0RIECAAAECBAgQIEBgyAQEoENGq2ECBAgQINBcAp2dndmAS5/NNXqjJUCAAAECBAgQIECAQN8CAtC+XRwlQIAAAQIECBAgQIAAAQIECBAgQKAAAgLQAiyiKRAgQIAAAQIECBAgQIAAAQIECBAg0LeAALRvF0cJECBAgAABAgQIECBAgAABAgQIECiAgAC0AItoCgQIECBAgAABAgQIECBAgAABAgQI9C0gAO3bxVECBAgQIECAAAECBAgQIECAAAECBAogIAAtwCKaAgECBAgQIECAAAECBAgQIECAAAECfQsIQPt2cZQAAQIECBAgQIAAAQIECBAgQIAAgQIICEALsIimQIAAAQIECBAgQIAAAQIECBAgQIBA3wIC0L5dHCVAgAABAgQIECBAgAABAgQIECBAoAACAtACLKIpECBAgACBWgiMGjUqa2b06NG1aE4bBAgQIECAAAECBAgQyIVAWy5GYRAECBAgQIBAwwUmTpwYHR0d0d7e3vCxGAABAgQIECBAgAABAgRqJSAArZWkdggQIECAQAEEJkyYUIBZmAIBAgQIECBAgAABAgReFnAL/MsW9ggQIECAAAECBAgQIECAAAECBAgQKJiAALRgC2o6BAgQIECAAAECBAgQIECAAAECBAi8LCAAfdnCHgECBAgQIECAAAECBAgQIECAAAECBRMQgBZsQU2HAAECBAgQIECAAAECBAgQIECAAIGXBQSgL1vYI0CAAAECBAgQIECAAAECBAgQIECgYAIC0IItqOkQIECAAAECBAgQIECAAAECBAgQIPCygAD0ZQt7BAgQIECg5QVWrVrV8gYACBAgQIAAAQIECBAoloAAtFjraTYECBAgQGDAAkuXLo2RI0fGrFmzBtyGigQIECBAgAABAgQIEMibgAA0bytiPAQIECBAoEECS5Ysia6urujo6GjQCHRLgAABAgQIECBAgACB2gsIQGtvqkUCBAgQIECAAAECBAgQIECAAAECBHIiIADNyUIYBgECBAgQIECAAAECBAgQIECAAAECtRcQgNbeVIsECBAgQIAAAQIECBAgQIAAAQIECOREQACak4UwDAIECBAgQIAAAQIECBAgQIAAAQIEai8gAK29qRYJECBAgAABAgQIECBAgAABAgQIEMiJgAA0JwthGAQIECBAgAABAgQIECBAgAABAgQI1F5AAFp7Uy0SIECAAAECBAgQIECAAAECBAgQIJATAQFoThbCMAgQIECAAAECBAgQIECAAAECBAgQqL2AALT2plokQIAAAQIECBAgQIAAAQIECBAgQCAnAgLQnCyEYRAgQIAAgUYLtLW1ZUMofTZ6PPonQIAAAQIECBAgQIBALQT+8i+dWrSkDQIECBAgQKCpBSZPnhyzZ8+OqVOnNvU8DJ4AAQIECBAgQIAAAQI9BQSgPTXsEyBAgACBFhYYPnx4zJkzp4UFTJ0AAQIECBAgQIAAgSIKuAW+iKtqTgQIECBAgAABAgQIECBAgAABAgQIZAICUL8IBAgQIECAAAECBAgQIECAAAECBAgUVkAAWtilNTECBAgQIECAAAECBAgQIECAAAECBASgfgcIECBAgAABAgQIECBAgAABAgQIECisgAC0sEtrYgQIECBAgAABAgQIECBAgAABAgQICED9DhAgQIAAAQIECBAgQIAAAQIECBAgUFgBAWhhl9bECBAgQIAAAQIECBAgQIAAAQIECBAQgPodIECAAAECBDKBzs7OmDFjRsybN48IAQIECBAgQIAAAQIECiPQVpiZmAgBAgQIECAwKIGFCxfG3LlzY/ny5TF9+vRBtaUyAQIECBAgQIAAAQIE8iLgCtC8rIRxECBAgACBBgt0d3dnIyh9Nng4uidAgAABAgQIECBAgEBNBASgNWHUCAECBAgQIECAAAECBAgQIECAAAECeRQQgOZxVYyJAAECBAgQIECAAAECBAgQIECAAIGaCAhAa8KoEQIECBAgQIAAAQIECBAgQIAAAQIE8iggAM3jqhgTAQIECBAgQIAAAQIECBAgQIAAAQI1ERCA1oRRIwQIECBAgAABAgQIECBAgAABAgQI5FFAAJrHVTEmAgQIECBAgAABAgQIECBAgAABAgRqIiAArQmjRggQIECAAAECBAgQIECAAAECBAgQyKOAADSPq2JMBAgQIECAAAECBAgQIECAAAECBAjUREAAWhNGjRAgQIAAAQIECBAgQIAAAQIECBAgkEcBAWgeV8WYCBAgQIBAAwTGjx8f48aNiylTpjSgd10SIECAAAECBAgQIEBgaATahqbZ/LT6zne+M2666aZBD+iLX/xivOc97xl0O301cO+990Z7e3tfp2py7Gtf+1p87nOfy9r693//9zjqqKNq0q5GCBAgQKBYAmPGjInFixcXa1JmQ4AAAQIECBAgQIBAywsUPgB9/PHH4+GHHx70Qj/77LODbqN3A11dXfH5z38+Lr300njwwQd7n67Z92eeeaZssHLlypq1qyECBAgQIECAAAECBAgQIECAAAECeRcofAC66667RmdnZ5/rkALI0pUuI0aMiD322KPPcung6NGj13luoCcOPvjguPXWW2OrrbYaaBPqESBAgAABAgQIECBAgAABAgQIECDQj0DhA9Cvf/3r65z+okWLYp999snOv+51r4uFCxeus+xQnHjssceyZocNGzYUzWuTAAECBAgQIECAAAECBAgQIECAQMsLeAlSy/8KACBAgAABAgQIECBAgAABAgQIECBQXAEBaHHX1swIECBAgAABAgQIECBAgAABAgQItLxA4W+BH+oV/s1vfpO9xOiPf/xj3HHHHbHFFlvEnnvumf28733vi2233XatIcyaNSvSi4lWrFiRnUvPKD3ppJOy/V122SXS+d5ban/evHlZH6mfJUuWxNZbbx0777xz9nPMMcfEvvvu27ua7wQIECBAgAABAgQIECBAgAABAgRaWkAAOsDlT2+W/8QnPhHf+c534sUXXyy3ko7fdddd8aMf/SguuOCC+Ld/+7eYMWNG+XzaueSSS+KJJ54oH0tvZv/GN76RfX/jG9+4RgC6evXqOO+88+L000+P5557rlwn7aRniKYwNG1f/vKX4yMf+Uh84QtfiLY2y5qh+A8BAgQIECBAgAABAgQIECBAgEDLC0jKBvArkELJd7zjHXHzzTdntdNVn+n7pEmT4sknn4ybbroprrnmmnj88cfjuOOOi9///vdx7rnnlns64YQT4tlnn425c+fG008/HekN9O9973uz8+kK0J7b0UcfHVdccUV2aMstt4y///u/j/TCplTnvvvui6uvvjprP43p/PPPj7333jsr07MN+wQIECBAoFKB+fPnZ3+W7LDDDpVWUY4AAQIECBAgQIAAAQK5FhCADmB5zjnnnHL4md4i/4Mf/CBe85rXrNFSCi1PPPHEeOqpp7IrQY899tjsH5SpUAoq0/bzn/88C0A322yz+NrXvpYd6/mfO++8M6688srs0Lhx47JgdeTIkT2LxBlnnBGf+cxnss90Il11mkJSGwECBAgQqFZgwYIFMW3atDjyyCPjxz/+cbXVlSdAgAABAgQIECBAgEAuBbwEqcplWbx4cXzuc5/Lam266abx05/+dK3wM5086qijsjAy7aerMz/4wQ+ucat8Or6+Ld0+X7q9/l//9V+jd/iZ6g8bNiy7PT6FqGlLV5uW6mQH/IcAAQIECFQokJ5JnbbSZ4XVFCNAgAABAgQIECBAgECuBQSgVS7PddddF6tWrcpqpWdubrPNNuts4fjjj4/ddtstO59ul7/77rvXWbavEyeffHL2LNEvfelL8Za3vKWvItmx9MzPnXbaKdt/4YUX4vnnn19nWScIECBAgAABAgQIECBAgAABAgQItJKAW+CrXO3SS4dStbe//e391t5www3jsMMOi3TVaNpS3d7P+Oyvgd133z3ST3/bQw89FDfccEM8+uij5WIpBN1oo43K3+0QIECAAAECBAgQIECAAAECBAgQaFUBAWiVK18KM1O19vb29dbu+WzQ9EzPgW4rVqyIX/3qV1mYmq4kTW+aT+0tX758rSbdAr8WiQMECBAgQIAAAQIECBAgQIAAAQItKiAArXLhU/CYtnTb+atf/er11t5+++3LZdJb26vd7r///jjzzDPj0ksvjZUrV/ZZfezYsdnb59Mb6G0ECBAgQIAAAQIECBAgQIAAAQIECLwsIAB92aKivS233DL+/Oc/R7rNPL0kYvPNN++3Xrpys7RtscUWpd2KPh988ME4+OCDo2dwml6ENGHChJg4cWLsueeesd9++2Wf6W30ixYtytpNL0ayESBAgAABAgQIECBAgAABAgQIECDw0oWMEKoT2HnnneO2227LKt17771ZGNlfC6lMaRs9enRpt6LPo48+uhx+Tpo0Kb75zW/G3nvv3Wfdp556qny8u7u7vG+HAAECBAgQIECAAAECBAgQIECAQCsLeAt8laufAtDSVgpCS9/7+uzo6Cgfft3rXlfeX9/OY489lj3zM5V75StfGTfeeOM6w890NWp6GVJpS99tBAgQIECAAAECBAgQIECAAAECBAhECECr/C2YPHlyucY555wT/V1tmQLSq666KiufbpU/9NBDy3XTTnpLfNpWr16dffb8z8KFC6P0MqPU5yabbNLz9Br7P/nJT7Lb8UsH+2qvdM4nAQIECBAgQIAAAQIECBAgQIAAgVYSEIBWudpHHnlk9lzOVC0FnOedd16fLTz99NNxyimnlEPMY445JkaMGLFG2U033TT7nsr2fsHRdtttVy57xx13xPPPP1/+3nMnvRn+uOOO63lorbbWOOkLAQIECBAgQIAAAQIECBAgQIAAgRYSEIAOYLEvvPDC8tWbn/zkJ+Pd73533HzzzfHcc89FeunRT3/600gvJfrlL3+Ztd7e3h7nnnvuWj1ts8022bF0y/rhhx8eF1xwQVx88cXZsd122y3GjBmT7aeXIP3d3/1dXHPNNVkf6arTW2+9Nc4///x429veFs8888wabT/66KNrfPeFAAECBAhUIjBq1KisWLXPrK6kbWUIECBAgAABAgQIECDQKAEvQRqAfHr7+ve///046aSTIoWNl19+efbT1taWvR2+Z5Pjx4+PK664Ivp6A3y6mvTaa6/Nil9//fWRftI/Ok888cQsYL300ktjypQp2VWk8+fPj/Sz2WabZeeefPLJrF7q87TTToutt946Tj311OxYCmP32muvnsOwT4AAAQIE1iswceLESM+uTv/jzkaAAAECBAgQIECAAIGiCLgCdIAredRRR8Xtt9+eXZmZQsm09Xz50A477BCf+9znsitDd9111z57Ofnkk+NTn/pUlK4ETYUeeeSR7CrStP+Wt7wlbrjhhjVeftTZ2Rkp/Bw+fHgccsgh2ZWgX/jCF2LatGmpSrZ95zvfKe36JECAAAECVQlMmDAh0nOrbQQIECBAgAABAgQIECiKwLCXXrTzYlEm06h5JMKlS5dmzwRNV2TuuOOOsfvuu8cGG1SeLz/wwAORngU6duzYKD0btDSf1P79998ff/rTn+Lxxx+PcePGRQpVU19F29Kc0kucbrrppuj5wqmizdN8CBAgQIAAgaETSH+n+vWvfx0PPfRQvPKVr4x0dfNOO+00dB1qmQABAgQIECBQJ4H0yMVFixbFLbfcEpMmTapTr83fTfEStAasybBhw7K/VA/mL9bbb7/9Okee2k+havqxESBAgAABAgQI9C2QAs9Pf/rTke6G6f0CyX333TfOPvvsePOb39x3ZUcJECBAgAABAgQKK1D5JYqFJTAxAgQIECBAgACBZhdIV0K8/vWvz14o2Tv8THNbuHBhHHrooXHWWWc1+1SNnwABAgQIECBAoEoBAWiVYIoTIECAAAECBAjkS+DPf/5zvO1tb4uHH354vQNLz1+/5JJL1ltOAQIECBAgQIAAgeIICECLs5ZmQoAAAQIECBBoSYF//ud/juXLl1c891mzZmXPVa+4goIECBAgQIAAAQJNLSAAberlM3gCBAgQIECAQGsLpBdEfve7360K4YknnojLL7+8qjoKEyBAgAABAgQINK+AlyA179rlZuR33313LFmypCbjSW+8txVX4Gc/+1l88YtfjJUrVxZ3kmZGoMkFuru7Y4MN/P/RJl/Glhr+Y489FqtXr656zrNnz47LLrus6noqECBAgACBksCIESPi1FNPjbe//e2lQz4JEMipgAA0pwvTLMN67rnnYuLEifHss8/WdMi1bq+mg9PYgAU+/OEP1ywsH/AgVCRAgAABAi8JpOD0N7/5DQsCBAgQIDAogaVLlwpAByWoMoH6CAhA6+Nc2F422mij+NCHPhS33357TeZ4/fXXxwsvvBA77bRTTdrTSL4EDjzwQAFovpbEaAgQIECAAAECBAgQGIRA+jeOjQCB/AsMe+mWY/cc53+dWmaEO+64Y9x///1x3333xdixY1tm3q0y0XRr7W233VbzK4Zbxc88CQy1wMKFC+OUU06JffbZJy688MKh7k77BGoicM8998Rxxx1XdVvHHnts9vtedUUVCBAgQIDAXwXSLfB77rmnxwf5jairQPq7+qJFi+KWW26JSZMm1bXvZu7MFaDNvHrGTqDJBNJzBdMjE2wECORToKurKxvYFltsEQcccEA+B2lUBHoJpN/VM888M+64445eZ/r/+tGPfjT222+//gs5S4AAAQIECBAgUAgBbzkoxDKaBAECBAgQIECgdQXOOuusqiY/bdo04WdVYgoTIECAAAECBJpbQADa3Otn9AQIECBAgACBlheYPn16fPzjH6/IYdddd41vf/vbFZVViAABAgQIECBAoBgCAtBirKNZECBAgAABAgRaWuC8886L888/PzbeeON1OhxxxBFx0003xZZbbrnOMk4QIECAAAECBAgUT8AzQIu3pmZEgAABAgQIEGhJgY997GNxzDHHxGWXXRa//OUv46GHHorNN988e/50On7QQQe1pItJEyBAgAABAgRaXUAA2s9vwFNPPRV33XVXPPHEE7HNNtvE9ttvHyNHjlyjRiVl1qjgCwECBAgQIECAwJAJvPrVr47TTjst+xmyTjRMgAABAgQIECDQVAJNHYC2t7fHypUrBwx+/PHHxxe+8IU+659++ulx7rnnxrPPPls+v/XWW8fDDz9c/l5JmXLhBu/ce++9kbxsBAgQIECAAAECBAgQIECAAAECBFpJoKkD0BRGDiYATVdv9rVddNFFMWfOnLVO7bHHHuVjlZQpF27gTldXV3z+85+PSy+9NB588MEGjkTXBAgQIECAAAECBAgQIECAAAECBOov0NQBaE+uvfbaK9raqpvO2LFjezaR7T///PNxyimnlI9PmTIlpk2bFltttVWMHj264jLlBhq8c/DBB8ett96ajb/BQ9E9AQIECORcoPTnaOkz58M1PAIECBAgQIAAAQIECFQkUF1iWFGTjSmUHnS/xRZbDLrzJUuWlG97nzRpUvz85z9fq81KyqxVqUEHHnvssaznYcOGNWgEuiVAgACBZhGYPHlyzJ49O6ZOndosQzZOAgQIECBAgAABAgQIrFegMAHoemdaYYGnn366XHLPPfcs7/fcqaRMz/L2CRAgQIBAMwgMHz68z0fANMPYjZEAAQIECBAgQIAAAQLrEthgXSda9Xh3d3d56ptuuml5v+dOJWV6lrdPgAABAgQIECBAgAABAgQIECBAgEBjBFwB+lf3r371q9HR0RHLly8vr8QNN9wQJ510UvZ9hx12iJEjR663zKc+9aly/dLO7373u/jRj34U6fP3v/99bLTRRpGeWZp+3v/+98eYMWNKRdf5+eSTT8bcuXPjyiuvjHQL/hNPPBGvec1rYpdddsnG+IY3vGGNurNmzYpnnnkmVqxYkR3v7OwszyXVSedtBAgQIECAAAECBAgQIECAAAECBIouMOzFl7ZmneTGG29cfgt8CgQH8wzQI444In7605+ukyKFldtvv/16y/z2t78tt5GuFD3nnHPis5/9bKxatap8vOdOerHSt771rTjyyCN7Hl5j/+qrr44ZM2ZkoecaJ3p8Ofzww+MHP/hBJJO0pbA2mfS1vfGNb4wU7uZx23HHHeP++++P++67L/p6SVUex2xMBAgQIECAAAECBAgQIECAAIF6COyzzz6xaNGiuOWWWyK9u8ZWmYArQP/qdNhhh2UB58MPPxzz5s3Ljo4fPz7+5m/+JttP4WcKFdNnf2V6sqdQ9b/+67+yQymYPPbYY7OrPleuXBk333xz/PjHP45HHnkke8v8+eefHx/72Md6Vs/2v/e978W73/3uKOXU+++/f7zpTW+K1772tXH33Xdn4Wl60VEKb48//vj4/ve/H+mFRyeccEL2Mqd01Wh6ZumIESPive99b9ZmugLURoAAAQIECBAgQIAAAQIECBAgQKAVBApzBej//u//xmabbVbxmm2++eZZiNi7woIFC+KAAw7IDn/4wx+OCy+8sHeRqKRMCi5T4Jm2iRMnxg9/+MPYeeed12jrxhtvjHe9613ZbffpeaN33XVXbLvttuUyjz76aOy2226RPjfYYIM488wz45Of/GQWcJYKpQA1vbX3T3/6U3boJz/5SaTgtbSl2+TvvffeGDVqVBa2lo7n9dMVoHldGeMiQIAAAQIECBAgQIAAAQIEGi3gCtCBrUBhrgAtXalZKcOhhx4a1157baXFqyqXnr152mmnZXXSlZ/p1vTe4Wc6efDBB8dll10WU6ZMia6urizcTN9LW3ouaQo/03bMMcfEP/3TP5VOlT/TLfQXXXRRHHLIIdmxdMVnzwC0XNAOAQIECBAgQIAAAQIECBAgQIAAgRYU8Bb4IVj0q666KpYtW5a1fNxxx2UvKlpXN29961sj3Wqftssvvzyef/75ctF0NWfa0i3tn/nMZ8rHe++kFyB94AMfiNNPPz2OPvro3qd9J0CAAAECBAgQIECAAAECBAgQINCyAoW5AjRdHZmec1npttNOO1VatOpy6Vb20nbQQQeVdtf5ud9++8Uf/vCHWL16dSxdujR23XXXSG9tTw+1TdurX/3q7Ni6GkgB6Te+8Y11nXacAAECBAhUJJD+7DnppJPiqKOOiunTp1dURyECBAgQIECAAAECBAjkXaBQAehg3gJfy4VKLycqbaeeemr8y7/8S+lrn59PPfVU+XiqmwLQ9KKl0uZt6CUJnwQIECAwlAILFy6M9CiV5cuXC0CHElrbBAgQIECAAAECBAjUVaAwAWhd1dbT2T333FMukV5SVM1WeplRz3rbbbddNU0oS4AAAQIEBiTQ3d2d1St9DqgRlQgQIECAAAECBAgQIJAzAQHoECxIeqN7afvsZz8bW221Venrej9Lt8z3rPPkk0+ut54CBAgQIECAAAECBAgQIECAAAECBAisLSAAXdtk0Ed22WWXuO6667J20vM9DzvssKrbbG9vjw033DB7LugDDzyw3vrp5UnDhw9fbzkFCBAgQIAAAQIECBAgQIAAAQIECLSSgLfAD8FqpwC0tN16662l3XV+/va3v40FCxZkz/188cUXs3KveMUrYscdd8z277///njuuefWWT+deMc73hGvetWr4vWvf308/vjj/ZZ1kgABAgQIECBAgAABAgQIECBAgECrCAhAh2ClDzjggHKrX/3qV+Ppp58uf++98+yzz2ZXiKY6Y8aMicWLF5eLpKtH0/bMM8/ExRdfXD7eeyedv/HGGyPdKp+e2zZy5MhykXQVadrSG+ZtBAgQIECAAAECBAgQIECAAAECBFpNQAA6BCu+//77x7ve9a6s5QcffDBmzZq1zgDytNNOK7/x/dBDD43dd9+9PKI5c+ZEuhI0beecc0489NBD5XM9dz7xiU9EClLTdtRRR/U8FaXnkaYQduXKlWuc84UAAQIECBAgQIAAAQIECBAgQIBA0QUK8wzQo48+Otraqp9OurJy6623rvk6f+lLX4qrr746u3rzoosuyq7sPOOMM2LvvffOQsk//vGPcfbZZ8fll1+e9b3JJpvEWWedtcY4dt5555g5c2acf/75kW6DT7e3f/nLX443vvGNMXr06Lj77ruzNv7zP/8zq7fHHnvExz/+8TXa2GabbbLvL7zwQhx++OHx9re/PbbYYos48cQT1yjnCwECBAgQIECAAAECBAgQIECAAIEiClSfGOZU4ZprrhnQyEpXTg6ocj+Vdthhh7jqqqvihBNOyMLLX/3qV3HIIYfEsGHDspcbpUCytKWrPK+44orYd999S4fKn+kq0PRMz0suuSS7UvSYY47JzqU6q1atKpdLIe6VV15ZvuKzdOLII4+Ma6+9Nvt6/fXXR/pJ4akAtCTkkwABAgQIECBAgAABAgQIECBAoMgCboEfwtV905veFLfffnv84z/+Y/m5nOklR6XwMz2f8z3veU/84Q9/iKlTp/Y5knQLe7pKdd68eZGuCE0BatpK4WcKQj/ykY/EnXfemZ3v3cjJJ58cn/rUp6J0JWg6/8gjj8SKFSt6F/WdAAECBAgQIECAAAECBAgQIECAQOEEhr0UyP3lteOFm1r+JpSeB5oC0a6urthpp52yn80337yqgaZned52223Z80BTIJreOD9ixIiK2njggQeyFzKNHTt2rStFK2qgDoXSm+/T7f733XdfpHHaCBAgQKB+AukugfQ86je/+c1x3XXX1a9jPREgQIAAAQIECBAgUJHAPvvsE4sWLYpbbrklJk2aVFEdhSIKcwt8MyzmtttuG+lnMFsKTA888MABNbH99tsPqJ5KBAgQINAaAuPHj49x48bFlClTWmPCZkmAAAECBAgQIECAQEsICEBbYplNkgABAgQIrF9gzJgx2Uv71l9SCQIECBAgQIAAAQIECDSPgGeANs9aGSkBAgQIECBAgAABAgQIECBAgAABAlUKCECrBFOcAAECBAgQIECAAAECBAgQIECAAIHmERCANs9aGSkBAgQIECBAgAABAgQIECBAgAABAlUKCECrBFOcAAECBAgQIECAAAECBAgQIECAAIHmERCANs9aGSkBAgQIECBAgAABAgQIECBAgAABAlUKCECrBFOcAAECBAgQIECAAAECBAgQIECAAIHmERCANs9aGSkBAgQIECBAgAABAgQIECBAgAABAlUKCECrBFOcAAECBAgUWWD+/PmxbNmyIk/R3AgQIECAAAECBAgQaDEBAWiLLbjpEiBAgACBdQksWLAgpk2bFjNnzlxXEccJECBAgAABAgQIECDQdAIC0KZbMgMmQIAAAQJDI9DZ2Zk1XPocml60SoAAAQIECBAgQIAAgfoKCEDr6603AgQIECBAgAABAgQIECBAgAABAgTqKCAArSO2rggQIECAAAECBAgQIECAAAECBAgQqK+AALS+3nojQIAAAQIECBAgQIAAAQIECBAgQKCOAgLQOmLrigABAgQIECBAgAABAgQIECBAgACB+goIQOvrrTcCBAgQIECAAAECBAgQIECAAAECBOooIACtI7auCBAgQIAAAQIECBAgQIAAAQIECBCor4AAtL7eeiNAgAABAgQIECBAgAABAgQIECBAoI4CAtA6YuuKAAECBAgQIECAAAECBAgQIECAAIH6CghA6+utNwIECBAgQIAAAQIECBAgQIAAAQIE6iggAK0jtq4IECBAgECeBUaNGpUNb/To0XkeprERIECAAAECBAgQIECgKoG2qkorTIAAAQIECBRWYOLEidHR0RHt7e2FnaOJESBAgAABAgQIECDQegIC0NZbczMmQIAAAQLrFJgwYcI6zzlBgAABAgQIECBAgACBZhRwC3wzrpoxEyBAgAABAgQIECBAgAABAgQIECBQkYAAtCImhQgQIECAAAECBAgQIECAAAECBAgQaEYBAWgzrpoxEyBAgAABAgQIECBAgAABAgQIECBQkYAAtCImhQgQIECAAAECBAgQIECAAAECBAgQaEYBAWgzrpoxEyBAgAABAgQIECBAgAABAgQIECBQkYAAtCImhQgQIECAAAECBAgQIECAAAECBAgQaEYBAWgzrpoxEyBAgACBIRJYtWrVELWsWQIECBAgQIAAAQIECDRGQADaGHe9EiBAgACB3AksXbo0Ro4cGbNmzcrd2AyIAAECBAgQIECAAAECAxUQgA5UTj0CBAgQIFAwgSVLlkRXV1d0dHQUbGamQ4AAAQIECBAgQIBAKwsIQFt59c2dAAECBAgQIECAAAECBAgQIECAQMEFBKAFX2DTI0CAAAECBAgQIECAAAECBAgQINDKAgLQVl59cydAgAABAgQIECBAgAABAgQIECBQcAEBaMEX2PQIECBAgAABAgQIECBAgAABAgQItLKAALSVV9/cCRAgQIAAAQIECBAgQIAAAQIECBRcQABa8AU2PQIECBAgQIAAAQIECBAgQIAAAQKtLCAAbeXVN3cCBAgQIECAAAECBAgQIECAAAECBRcQgBZ8gU2PAAECBAgQIECAAAECBAgQIECAQCsLCEBbefXNnQABAgQIECBAgAABAgQIECBAgEDBBQSgBV9g0yNAgAABApUKtLW1ZUVLn5XWU44AAQIECBAgQIAAAQJ5FvjLv3TyPEJjI0CAAAECBOoiMHny5Jg9e3ZMnTq1Lv3phAABAgQIECBAgAABAvUQEIDWQ1kfBAgQIECgCQSGDx8ec+bMaYKRGiIBAgQIECBAgAABAgQqF3ALfOVWShIgQIAAAQIECBAgQIAAAQIECBAg0GQCAtAmWzDDJUCAAAECBAgQIECAAAECBAgQIECgcgEBaOVWShIgQIAAAQIECBAgQIAAAQIECBAg0GQCAtAmWzDDJUCAAAECBAgQIECAAAECBAgQIECgcgEBaOVWShIgQIAAAQIECBAgQIAAAQIECBAg0GQCAtAmWzDDJUCAAAECBAgQIECAAAECBAgQIECgcgEBaOVWShIgQIAAAQIECBAgQIAAAQIECBAg0GQCAtAmWzDDJUCAAAECQyXQ2dkZM2bMiHnz5g1VF9olQIAAAQIECBAgQIBA3QXa6t6jDgkQIECAAIFcCixcuDDmzp0by5cvj+nTp+dyjAZFgAABAgQIECBAgACBagVcAVqtmPIECBAgQKCgAt3d3dnMSp8FnaZpESBAgAABAgQIECDQYgIC0BZbcNMlQIAAAQIECBAgQIAAAQIECBAg0EoCAtBWWm1zJUCAAAECBAgQIECAAAECBAgQINBiAgLQFltw0yVAgAABAgQIECBAgAABAgQIECDQSgIC0FZabXMlQIAAAQIECBAgQIAAAQIECBAg0GICAtAWW3DTJUCAAAECBAgQIECAAAECBAgQINBKAgLQVlptcyVAgAABAgQIECBAgAABAgQIECDQYgIC0BZbcNMlQIAAAQIECBAgQIAAAQIECBAg0EoCAtBWWm1zJUCAAAECBAgQIECAAAECBAgQINBiAgLQFltw0yVAgAABAgQIECBAgAABAgQIECDQSgIC0FZabXMlQIAAAQL9CIwfPz7GjRsXU6ZM6aeUUwQIECBAgAABAgQIEGgugbbmGq7REiBAgAABAkMlMGbMmFi8ePFQNa9dAgQIECBAgAABAgQINETAFaANYdcpAQIECBAgQIAAAQIECBAgQIAAAQL1EBCA1kNZHwQIECBAgAABAgQIECBAgAABAgQINERAANoQdp0SIECAAAECBAgQIECAAAECBAgQIFAPAQFoPZT1QYAAAQIECBAgQIAAAQIECBAgQIBAQwQEoA1h1ykBAgQIECBAgAABAgQIECBAgAABAvUQEIDWQ1kfBAgQIECAAAECBAgQIECAAAECBAg0REAA2hB2nRIgQIAAAQIECBAgQIAAAQIECBAgUA8BAWg9lPVBgAABAgSaRGD+/PmxbNmyJhmtYRIgQIAAAQIECBAgQGD9AgLQ9RspQYAAAQIEWkJgwYIFMW3atJg5c2ZLzNckCRAgQIAAAQIECBBoDQEBaGuss1kSIECAAIH1CnR2dmZlSp/rraAAAQIECBAgQIAAAQIEmkBAANoEi2SIBAgQIECAAAECBAgQIECAAAECBAgMTEAAOjA3tQgQIECAAAECBAgQIECAAAECBAgQaAIBAWgTLJIhEiBAgAABAgQIECBAgAABAgQIECAwMAEB6MDc1CJAgAABAgQIECBAgAABAgQIECBAoAkEBKBNsEiGSIAAAQIECBAgQIAAAQIECBAgQIDAwAQEoANzU4sAAQIECBAgQIAAAQIECBAgQIAAgSYQEIA2wSIZIgECBAgQIECAAAECBAgQIECAAAECAxMQgA7MTS0CBAgQIECAAAECBAgQIECAAAECBJpAQADaBItkiAQIECBAgAABAgQIECBAgAABAgQIDExAADowN7UIECBAgEDhBEaNGpXNafTo0YWbmwkRIECAAAECBAgQINC6Am2tO3UzJ0CAAAECBHoKTJw4MTo6OqK9vb3nYfsECBAgQIAAAQIECBBoagEBaFMvn8ETIECAAIHaCkyYMKG2DWqNAAECBAgQIECAAAECDRZwC3yDF0D3BAgQIECAAAECBAgQIECAAAECBAgMnYAAdOhstUyAAAECBAgQIECAAAECBAgQIECAQIMFBKANXgDdEyBAgAABAgQIECBAgAABAgQIECAwdAIC0KGz1TIBAgQIECBAgAABAgQIECBAgAABAg0WEIA2eAF0T4AAAQIECBAgQIAAAQIECBAgQIDA0AkIQIfOVssECBAgQIAAAQIECBAgQIAAAQIECDRYQADa4AXQPQECBAgQyJPAqlWr8jQcYyFAgAABAgQIECBAgMCgBQSggybUAAECBAgQKIbA0qVLY+TIkTFr1qxiTMgsCBAgQIAAAQIECBAg8JKAANSvAQECBAgQIJAJLFmyJLq6uqKjo4MIAQIECBAgQIAAAQIECiMgAC3MUpoIAQIECBAgQIAAAQIECBAgQIAAAQK9BQSgvUV8J0CAAAECBAgQIECAAAECBAgQIECgMAIC0MIspYkQIECAAAECBAgQIECAAAECBAj8fzv3z9JGHMYB/ElxUVrFgn+mOihuIjjqqIMIFqFLB1+AxFFfhrrp5upLcNKxLoKIi4MoKEjVQdRBQZS2CWSxNHCHae4unyxHkt/v7nk+zw32y6UECLwVEIC+FfGeAAECBAgQIECAAAECBAgQIECAAIHCCAhACzNKjRAgQIAAAQIECBAgQIAAAQIECBAg8FZAAPpWxHsCBAgQIECAAAECBAgQIECAAAECBAojIAAtzCg1QoAAAQIECBAgQIAAAQIECBAgQIDAWwEB6FsR7wkQIECAAAECBAgQIECAAAECBAgQKIxAW2E60UihBLa2tuLz58+F6kkz+RbY39+Pi4uL6OnpyXcjqidQR+Dq6qr67dHRUczPz9dZ6SsC+RZ4fn6Onz9/xpcvX6JUKuW7GdUTqCNwd3cXlfu9t7e3zipfEci/wOXlZXR1dcXHjx/z34wOCPxD4OXlJSp/r19fX/9jhY/rCZR+/XnVW+A7Av9TYHBwMM7Ozv7nJZzzJiIAAAWuSURBVF2LAAECBAgQIECAAAECBAgQIJArgcPDwxgdHc1Vzc0s1hOgzdR37b8E1tbWYnt7+6/PfUCg2QKbm5vx+voaw8PD8eGD/z2k2fNw/cYIPD4+Vp907ujoqD4Z15irOCuB5gtUnp6oPBnX19cX3d3dzS9IBQQaJHByclL9+2VoaCja2vzTr0HMTttkgaenpzg/P4/29vYYGBhocjUuT6BxAjc3N3F7extjY2MxNzcXIyMjjbtYAc/sCdACDlVLBAi8v0DlJzUPDw9xf38fnZ2d738BZySQAYHd3d2YmpqKycnJ2NnZyUBFSiDQGIHFxcXY2NiI9fX1KJfLjbmIsxLIgEB/f3/1p5KV0L8S+HsRKKLA3t5eTExMxPj4ePz48aOILeqJQFVgeXk5VldXY2VlJZaWlqgkFPAYU0IwywkQIECAAAECBAgQIECAAAECBAgQyI+AADQ/s1IpAQIECBAgQIAAAQIECBAgQIAAAQIJBQSgCcEsJ0CAAAECBAgQIECAAAECBAgQIEAgPwIC0PzMSqUECBAgQIAAAQIECBAgQIAAAQIECCQUEIAmBLOcAAECBAgQIECAAAECBAgQIECAAIH8CAhA8zMrlRIgQIAAAQIECBAgQIAAAQIECBAgkFBAAJoQzHICBAgQIECAAAECBAgQIECAAAECBPIjIADNz6xUSoAAAQIECBAgQIAAAQIECBAgQIBAQgEBaEIwywkQIECAAAECBAgQIECAAAECBAgQyI+AADQ/s1IpAQIECBAgQIAAAQIECBAgQIAAAQIJBQSgCcEsJ0CAAAECBAgQIECAAAECBAgQIEAgPwIC0PzMSqUECBAgQIAAAQIECBAgQIAAAQIECCQUEIAmBLOcAAECBAgQIECAAAECBAgQIECAAIH8CAhA8zMrlRIgQIAAAQIECBAgQIAAAQIECBAgkFBAAJoQzHICBAgQIECAAAECBAgQIECAAAECBPIjIADNz6xUSoAAAQIECBAgQIAAAQIECBAgQIBAQgEBaEIwywkQaE2BUqlUbbx2bE0FXRddoHZ/145F71d/rStQu8drx9aV0HnRBWr3eO1Y9H7115oCtfu7dmxNBV23gkDtHq8dW6Hn9+yx7T1P5lwECBAoqkC5XI7r6+v49OlTUVvUF4EYGxuLmZmZ+P79Ow0ChRb49u1bHB8fx9TUVKH71ByBhYWFOD09jZ6eHhgECiswMjISs7Oz8fXr18L2qDECFYG5ubk4ODiI6elpICkESr/+vFLss4UAAQIECBAgQIAAAQIECBAgQIAAAQKZF/AT+MyPSIEECBAgQIAAAQIECBAgQIAAAQIECKQVEICmlbOPAAECBAgQIECAAAECBAgQIECAAIHMCwhAMz8iBRIgQIAAAQIECBAgQIAAAQIECBAgkFZAAJpWzj4CBAgQIECAAAECBAgQIECAAAECBDIvIADN/IgUSIAAAQIECBAgQIAAAQIECBAgQIBAWgEBaFo5+wgQIECAAAECBAgQIECAAAECBAgQyLyAADTzI1IgAQIECBAgQIAAAQIECBAgQIAAAQJpBQSgaeXsI0CAAAECBAgQIECAAAECBAgQIEAg8wIC0MyPSIEECBAgQIAAAQIECBAgQIAAAQIECKQVEICmlbOPAAECBAgQIECAAAECBAgQIECAAIHMCwhAMz8iBRIgQIAAAQIECBAgQIAAAQIECBAgkFZAAJpWzj4CBAgQIECAAAECBAgQIECAAAECBDIvIADN/IgUSIAAAQIECBAgQIAAAQIECBAgQIBAWgEBaFo5+wgQIECAAAECBAgQIECAAAECBAgQyLyAADTzI1IgAQIECBAgQIAAAQIECBAgQIAAAQJpBQSgaeXsI0CAAAECBAgQIECAAAECBAgQIEAg8wIC0MyPSIEECBAgQIAAAQIECBAgQIAAAQIECKQV+A397YJMgq5CDQAAAABJRU5ErkJggg==" width="672" /></p>
</div>
<div id="effect-of-prime-on-probability-estimates" class="section level3">
<h3>Effect of Prime on Probability Estimates</h3>
<pre class="r"><code># Effect of Prime on 6 Percents Estimates 

percents1_m1 &lt;- lm(percent1 ~ Condition, data = plac_age_cond) # just Condition 

percents1_m2 &lt;- lm(percent1 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

percents2_m1 &lt;- lm(percent2 ~ Condition, data = plac_age_cond) # just Condition IV

percents2_m2 &lt;- lm(percent2 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

percents3_m1 &lt;- lm(percent3 ~ Condition, data = plac_age_cond) # just Condition IV

percents3_m2 &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

percents4_m1 &lt;- lm(percent4 ~ Condition, data = plac_age_cond) # just Condition IV

percents4_m2 &lt;- lm(percent4 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

percents5_m1 &lt;- lm(percent5 ~ Condition, data = plac_age_cond) # just Condition IV

percents5_m2 &lt;- lm(percent5 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

percents6_m1 &lt;- lm(percent6 ~ Condition, data = plac_age_cond) # just Condition IV

percents6_m2 &lt;- lm(percent6 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

## Coefficient Table Stargazer

stargazer(percents1_m1, percents1_m2, percents2_m1, percents2_m2, percents3_m1,  percents3_m2, percents4_m1, percents4_m2, percents5_m1, percents5_m2, percents6_m1, percents6_m2, align = T, dep.var.labels = c(&quot;Domestic Charge (πI)&quot;, &quot;International Charge (πI)&quot;, &quot;Domestic Apprehension (πA|I)&quot;, &quot;International Apprehension (πA|I)&quot;, &quot;Domestic Conviction (πC|A|I)&quot;, &quot;International Conviction (πC|A|I)&quot;), type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table 4.3: Effect of Violence Prime on Sanction Risk Perceptions&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table 4.3: Effect of Violence Prime on Sanction Risk Perceptions</strong>
</caption>
<tr>
<td colspan="13" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="12">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="12" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Domestic Charge (πI)
</td>
<td colspan="2">
International Charge (πI)
</td>
<td colspan="2">
Domestic Apprehension (πA|I)
</td>
<td colspan="2">
International Apprehension (πA|I)
</td>
<td colspan="2">
Domestic Conviction (πC|A|I)
</td>
<td colspan="2">
International Conviction (πC|A|I)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
<em>OLS</em>
</td>
<td colspan="2">
<em>OLS</em>
</td>
<td colspan="2">
<em>OLS</em>
</td>
<td colspan="2">
<em>OLS</em>
</td>
<td colspan="2">
<em>OLS</em>
</td>
<td colspan="2">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
<td>
(9)
</td>
<td>
(10)
</td>
<td>
(11)
</td>
<td>
(12)
</td>
</tr>
<tr>
<td colspan="13" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
55.60<sup>***</sup> (1.56)
</td>
<td>
43.35<sup>***</sup> (9.72)
</td>
<td>
58.82<sup>***</sup> (1.49)
</td>
<td>
33.53<sup>***</sup> (9.61)
</td>
<td>
57.63<sup>***</sup> (1.51)
</td>
<td>
45.35<sup>***</sup> (9.56)
</td>
<td>
58.70<sup>***</sup> (1.48)
</td>
<td>
42.88<sup>***</sup> (9.65)
</td>
<td>
55.91<sup>***</sup> (1.49)
</td>
<td>
42.98<sup>***</sup> (9.40)
</td>
<td>
63.58<sup>***</sup> (1.37)
</td>
<td>
41.75<sup>***</sup> (9.03)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-1.94 (2.23)
</td>
<td>
-1.55 (2.01)
</td>
<td>
-0.13 (2.12)
</td>
<td>
-0.48 (1.99)
</td>
<td>
-3.72<sup>*</sup> (2.15)
</td>
<td>
-3.44<sup>*</sup> (1.98)
</td>
<td>
-0.65 (2.11)
</td>
<td>
-0.79 (2.00)
</td>
<td>
-1.67 (2.13)
</td>
<td>
-1.47 (1.95)
</td>
<td>
0.54 (1.96)
</td>
<td>
0.33 (1.87)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
0.06 (0.08)
</td>
<td>
</td>
<td>
0.29<sup>***</sup> (0.08)
</td>
<td>
</td>
<td>
0.03 (0.08)
</td>
<td>
</td>
<td>
0.10 (0.08)
</td>
<td>
</td>
<td>
0.02 (0.08)
</td>
<td>
</td>
<td>
0.21<sup>***</sup> (0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
3.87 (6.52)
</td>
<td>
</td>
<td>
4.57 (6.45)
</td>
<td>
</td>
<td>
1.73 (6.42)
</td>
<td>
</td>
<td>
4.69 (6.48)
</td>
<td>
</td>
<td>
-3.26 (6.31)
</td>
<td>
</td>
<td>
0.11 (6.06)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
7.01<sup>***</sup> (1.01)
</td>
<td>
</td>
<td>
5.69<sup>***</sup> (1.00)
</td>
<td>
</td>
<td>
6.30<sup>***</sup> (1.00)
</td>
<td>
</td>
<td>
5.45<sup>***</sup> (1.01)
</td>
<td>
</td>
<td>
6.94<sup>***</sup> (0.98)
</td>
<td>
</td>
<td>
4.76<sup>***</sup> (0.94)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
-8.89<sup>***</sup> (2.06)
</td>
<td>
</td>
<td>
-6.53<sup>***</sup> (2.04)
</td>
<td>
</td>
<td>
-7.47<sup>***</sup> (2.03)
</td>
<td>
</td>
<td>
-4.75<sup>**</sup> (2.04)
</td>
<td>
</td>
<td>
-5.75<sup>***</sup> (1.99)
</td>
<td>
</td>
<td>
-5.60<sup>***</sup> (1.91)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
-1.44 (2.18)
</td>
<td>
</td>
<td>
0.30 (2.16)
</td>
<td>
</td>
<td>
-0.78 (2.15)
</td>
<td>
</td>
<td>
0.86 (2.17)
</td>
<td>
</td>
<td>
0.97 (2.11)
</td>
<td>
</td>
<td>
0.06 (2.03)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-1.56<sup>**</sup> (0.79)
</td>
<td>
</td>
<td>
0.08 (0.78)
</td>
<td>
</td>
<td>
-0.76 (0.78)
</td>
<td>
</td>
<td>
0.56 (0.79)
</td>
<td>
</td>
<td>
-1.08 (0.77)
</td>
<td>
</td>
<td>
0.38 (0.74)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
2.34<sup>***</sup> (0.87)
</td>
<td>
</td>
<td>
1.32 (0.86)
</td>
<td>
</td>
<td>
2.63<sup>***</sup> (0.86)
</td>
<td>
</td>
<td>
0.66 (0.86)
</td>
<td>
</td>
<td>
1.65<sup>*</sup> (0.84)
</td>
<td>
</td>
<td>
1.02 (0.81)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
7.44 (4.62)
</td>
<td>
</td>
<td>
2.47 (4.57)
</td>
<td>
</td>
<td>
2.39 (4.54)
</td>
<td>
</td>
<td>
1.73 (4.58)
</td>
<td>
</td>
<td>
7.66<sup>*</sup> (4.46)
</td>
<td>
</td>
<td>
2.11 (4.29)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
2.13 (4.63)
</td>
<td>
</td>
<td>
6.85 (4.58)
</td>
<td>
</td>
<td>
5.13 (4.56)
</td>
<td>
</td>
<td>
8.42<sup>*</sup> (4.60)
</td>
<td>
</td>
<td>
3.49 (4.48)
</td>
<td>
</td>
<td>
7.45<sup>*</sup> (4.30)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
7.72<sup>**</sup> (3.57)
</td>
<td>
</td>
<td>
0.88 (3.54)
</td>
<td>
</td>
<td>
6.70<sup>*</sup> (3.52)
</td>
<td>
</td>
<td>
2.86 (3.55)
</td>
<td>
</td>
<td>
5.36 (3.46)
</td>
<td>
</td>
<td>
0.92 (3.32)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
-27.16<sup>***</sup> (6.46)
</td>
<td>
</td>
<td>
-16.74<sup>***</sup> (6.39)
</td>
<td>
</td>
<td>
-23.45<sup>***</sup> (6.36)
</td>
<td>
</td>
<td>
-22.64<sup>***</sup> (6.41)
</td>
<td>
</td>
<td>
-18.60<sup>***</sup> (6.24)
</td>
<td>
</td>
<td>
-4.85 (6.00)
</td>
</tr>
<tr>
<td colspan="13" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.20
</td>
<td>
0.0000
</td>
<td>
0.14
</td>
<td>
0.004
</td>
<td>
0.18
</td>
<td>
0.0001
</td>
<td>
0.13
</td>
<td>
0.001
</td>
<td>
0.18
</td>
<td>
0.0001
</td>
<td>
0.11
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
-0.0003
</td>
<td>
0.19
</td>
<td>
-0.001
</td>
<td>
0.12
</td>
<td>
0.003
</td>
<td>
0.16
</td>
<td>
-0.001
</td>
<td>
0.11
</td>
<td>
-0.001
</td>
<td>
0.17
</td>
<td>
-0.001
</td>
<td>
0.09
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
29.79 (df = 714)
</td>
<td>
26.81 (df = 703)
</td>
<td>
28.33 (df = 714)
</td>
<td>
26.53 (df = 703)
</td>
<td>
28.81 (df = 714)
</td>
<td>
26.39 (df = 703)
</td>
<td>
28.26 (df = 714)
</td>
<td>
26.62 (df = 703)
</td>
<td>
28.48 (df = 714)
</td>
<td>
25.93 (df = 703)
</td>
<td>
26.17 (df = 714)
</td>
<td>
24.92 (df = 703)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
0.76 (df = 1; 714)
</td>
<td>
14.93<sup>***</sup> (df = 12; 703)
</td>
<td>
0.004 (df = 1; 714)
</td>
<td>
9.26<sup>***</sup> (df = 12; 703)
</td>
<td>
2.98<sup>*</sup> (df = 1; 714)
</td>
<td>
12.62<sup>***</sup> (df = 12; 703)
</td>
<td>
0.09 (df = 1; 714)
</td>
<td>
8.49<sup>***</sup> (df = 12; 703)
</td>
<td>
0.61 (df = 1; 714)
</td>
<td>
13.26<sup>***</sup> (df = 12; 703)
</td>
<td>
0.08 (df = 1; 714)
</td>
<td>
7.07<sup>***</sup> (df = 12; 703)
</td>
</tr>
<tr>
<td colspan="13" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="12" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code># Effect of Prime on Domestic Apprehension Risk Perception

percents3_m1 &lt;- lm(percent3 ~ Condition, data = plac_age_cond) # just Condition 

percents3_m2 &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond) # Condition and covariates

percents3_m3 &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = plac_age_cond) # Condition, covariates, and Combatant interaction

percents3_m4 &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = plac_age_cond) # Condition, covariates, and CombExp interaction

percents3_m5 &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = plac_age_cond) # Condition, covariates, and ConflZone interaction

percents3_m6 &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = plac_age_cond) # Condition, covariates, and IHLScore interaction

percents3_m7 &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = plac_age_cond) # Condition, covariates, and NatID interaction

percents3_m8 &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = plac_age_cond) # Condition, covariates, and PolID interaction

stargazer(percents3_m1, percents3_m2, percents3_m3, percents3_m4, percents3_m5, percents3_m6, percents3_m7, percents3_m8, align = T, dep.var.labels = &quot;Domestic Apprehension&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.17: Effect of Violence Prime on Domestic Apprehension Risk Perception&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.17: Effect of Violence Prime on Domestic Apprehension Risk Perception</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Domestic Apprehension
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
57.63<sup>***</sup> (1.51)
</td>
<td>
45.35<sup>***</sup> (9.56)
</td>
<td>
45.35<sup>***</sup> (9.57)
</td>
<td>
45.40<sup>***</sup> (9.58)
</td>
<td>
45.31<sup>***</sup> (9.57)
</td>
<td>
41.53<sup>***</sup> (10.05)
</td>
<td>
51.87<sup>***</sup> (9.93)
</td>
<td>
46.91<sup>***</sup> (9.83)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-3.72<sup>*</sup> (2.15)
</td>
<td>
-3.44<sup>*</sup> (1.98)
</td>
<td>
-3.49 (2.16)
</td>
<td>
-3.55 (2.16)
</td>
<td>
-3.33 (2.16)
</td>
<td>
5.48 (7.47)
</td>
<td>
-20.69<sup>***</sup> (7.58)
</td>
<td>
-6.62 (5.00)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
0.03 (0.08)
</td>
<td>
0.03 (0.08)
</td>
<td>
0.03 (0.08)
</td>
<td>
0.03 (0.08)
</td>
<td>
0.04 (0.08)
</td>
<td>
0.02 (0.08)
</td>
<td>
0.02 (0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
1.73 (6.42)
</td>
<td>
1.75 (6.43)
</td>
<td>
1.73 (6.42)
</td>
<td>
1.71 (6.43)
</td>
<td>
1.50 (6.42)
</td>
<td>
2.50 (6.41)
</td>
<td>
1.66 (6.42)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
6.30<sup>***</sup> (1.00)
</td>
<td>
6.30<sup>***</sup> (1.00)
</td>
<td>
6.30<sup>***</sup> (1.00)
</td>
<td>
6.29<sup>***</sup> (1.00)
</td>
<td>
6.28<sup>***</sup> (1.00)
</td>
<td>
4.37<sup>***</sup> (1.29)
</td>
<td>
6.36<sup>***</sup> (1.00)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
-7.47<sup>***</sup> (2.03)
</td>
<td>
-7.47<sup>***</sup> (2.03)
</td>
<td>
-7.47<sup>***</sup> (2.03)
</td>
<td>
-7.47<sup>***</sup> (2.03)
</td>
<td>
-7.42<sup>***</sup> (2.03)
</td>
<td>
-7.31<sup>***</sup> (2.02)
</td>
<td>
-7.52<sup>***</sup> (2.03)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
-0.78 (2.15)
</td>
<td>
-0.78 (2.15)
</td>
<td>
-0.78 (2.15)
</td>
<td>
-0.79 (2.15)
</td>
<td>
-0.82 (2.15)
</td>
<td>
-0.99 (2.14)
</td>
<td>
-0.81 (2.15)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-0.76 (0.78)
</td>
<td>
-0.76 (0.78)
</td>
<td>
-0.76 (0.78)
</td>
<td>
-0.76 (0.78)
</td>
<td>
-0.77 (0.78)
</td>
<td>
-0.72 (0.78)
</td>
<td>
-0.77 (0.78)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
2.63<sup>***</sup> (0.86)
</td>
<td>
2.63<sup>***</sup> (0.86)
</td>
<td>
2.63<sup>***</sup> (0.86)
</td>
<td>
2.63<sup>***</sup> (0.86)
</td>
<td>
2.58<sup>***</sup> (0.86)
</td>
<td>
2.73<sup>***</sup> (0.86)
</td>
<td>
2.07<sup>*</sup> (1.18)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
2.39 (4.54)
</td>
<td>
2.21 (5.35)
</td>
<td>
2.42 (4.55)
</td>
<td>
2.41 (4.55)
</td>
<td>
2.29 (4.54)
</td>
<td>
2.56 (4.53)
</td>
<td>
2.42 (4.55)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
5.13 (4.56)
</td>
<td>
5.15 (4.57)
</td>
<td>
4.76 (5.37)
</td>
<td>
5.09 (4.57)
</td>
<td>
5.39 (4.56)
</td>
<td>
5.34 (4.54)
</td>
<td>
5.29 (4.56)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
6.70<sup>*</sup> (3.52)
</td>
<td>
6.71<sup>*</sup> (3.52)
</td>
<td>
6.73<sup>*</sup> (3.53)
</td>
<td>
7.06 (4.40)
</td>
<td>
6.73<sup>*</sup> (3.52)
</td>
<td>
6.75<sup>*</sup> (3.51)
</td>
<td>
6.67<sup>*</sup> (3.52)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
-23.45<sup>***</sup> (6.36)
</td>
<td>
-23.45<sup>***</sup> (6.36)
</td>
<td>
-23.49<sup>***</sup> (6.37)
</td>
<td>
-23.43<sup>***</sup> (6.36)
</td>
<td>
-16.63<sup>**</sup> (8.40)
</td>
<td>
-22.94<sup>***</sup> (6.34)
</td>
<td>
-23.18<sup>***</sup> (6.37)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
0.34 (5.46)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.72 (5.48)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.74 (5.49)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-15.48 (12.50)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
4.30<sup>**</sup> (1.83)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
1.12 (1.61)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.004
</td>
<td>
0.18
</td>
<td>
0.18
</td>
<td>
0.18
</td>
<td>
0.18
</td>
<td>
0.18
</td>
<td>
0.18
</td>
<td>
0.18
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.003
</td>
<td>
0.16
</td>
<td>
0.16
</td>
<td>
0.16
</td>
<td>
0.16
</td>
<td>
0.16
</td>
<td>
0.17
</td>
<td>
0.16
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
28.81 (df = 714)
</td>
<td>
26.39 (df = 703)
</td>
<td>
26.41 (df = 702)
</td>
<td>
26.41 (df = 702)
</td>
<td>
26.41 (df = 702)
</td>
<td>
26.38 (df = 702)
</td>
<td>
26.30 (df = 702)
</td>
<td>
26.40 (df = 702)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
2.98<sup>*</sup> (df = 1; 714)
</td>
<td>
12.62<sup>***</sup> (df = 12; 703)
</td>
<td>
11.63<sup>***</sup> (df = 13; 702)
</td>
<td>
11.63<sup>***</sup> (df = 13; 702)
</td>
<td>
11.63<sup>***</sup> (df = 13; 702)
</td>
<td>
11.78<sup>***</sup> (df = 13; 702)
</td>
<td>
12.15<sup>***</sup> (df = 13; 702)
</td>
<td>
11.68<sup>***</sup> (df = 13; 702)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>mean(plac_age_cond$percent3[plac_age_cond$Condition == 1]) - mean(plac_age_cond$percent3[plac_age_cond$Condition == 0]) # double-check ATE with manual DiM</code></pre>
<p>[1] -3.71584</p>
<pre class="r"><code>coefplot(percents3_m2, main = &quot;Figure OA.8: Effect of Violence Prime on Domestic Apprehension Risk Perception&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code># Robustness Checks

## Morals P-value under the sharp null hypothesis

set.seed(103648)
percent3_Z &lt;- plac_age_cond$Condition #treatment vector
percent3_Y &lt;- plac_age_cond$percent3 #outcome vector
percent3_probs &lt;- genprobexact(Z = percent3_Z)
percent3_ate &lt;- estate(Y = percent3_Y, Z = percent3_Z, prob = percent3_probs)
percent3_ate #-3.71584</code></pre>
<p>[1] -3.71584</p>
<pre class="r"><code>percent3_perms &lt;- genperms(percent3_Z, maxiter = 10000) #enumerate all possible ways of random assignment</code></pre>
<p>Too many permutations to use exact method. Defaulting to approximate method. Increase maxiter to at least 9.58345958376068e+213 to perform exact estimation.</p>
<pre class="r"><code>percent3_Ys &lt;- genouts(Y = percent3_Y, Z = percent3_Z, ate = 0) #generate full schedule of potential outcomes under exact H0, (ITT/ATE = 0)
percent3_distout &lt;- gendist(percent3_Ys, percent3_perms, prob=percent3_probs) # generate randomization distribution 
percent3_dist &lt;- dispdist(percent3_distout, percent3_ate)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>percent3_abs_p &lt;- mean(abs(percent3_distout) &gt;= abs(percent3_ate)) #two-tailed test
percent3_abs_p #0.0849 p-value under sharp null hypothesis</code></pre>
<p>[1] 0.0849</p>
<pre class="r"><code>## CACE for Placebo-age Group

plac_age_cond &lt;- plac_age_cond %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))

cace_iv_percent1 &lt;- ivreg(percent1 ~ followup_ittd, ~Condition, data = plac_age_cond)

cace_iv_percent2 &lt;- ivreg(percent2 ~ followup_ittd, ~Condition, data = plac_age_cond)

cace_iv_percent3 &lt;- ivreg(percent3 ~ followup_ittd, ~Condition, data = plac_age_cond)

cace_iv_percent4&lt;- ivreg(percent4 ~ followup_ittd, ~Condition, data = plac_age_cond)

cace_iv_percent5 &lt;- ivreg(percent5 ~ followup_ittd, ~Condition, data = plac_age_cond)

cace_iv_percent6 &lt;- ivreg(percent6 ~ followup_ittd, ~Condition, data = plac_age_cond)

stargazer(cace_iv_percent1, cace_iv_percent2, cace_iv_percent3, cace_iv_percent4, cace_iv_percent5, cace_iv_percent6, type = &#39;html&#39;, title = &quot;Table OA.18: CACE of Prime on Charge, Apprehension and Conviction Estimates&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.18: CACE of Prime on Charge, Apprehension and Conviction Estimates</strong>
</caption>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="6">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="6" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
percent1
</td>
<td>
percent2
</td>
<td>
percent3
</td>
<td>
percent4
</td>
<td>
percent5
</td>
<td>
percent6
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
-2.318
</td>
<td>
-0.155
</td>
<td>
-4.431<sup>*</sup>
</td>
<td>
-0.774
</td>
<td>
-1.990
</td>
<td>
0.641
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(2.644)
</td>
<td>
(2.525)
</td>
<td>
(2.550)
</td>
<td>
(2.516)
</td>
<td>
(2.529)
</td>
<td>
(2.335)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
55.598<sup>***</sup>
</td>
<td>
58.818<sup>***</sup>
</td>
<td>
57.631<sup>***</sup>
</td>
<td>
58.702<sup>***</sup>
</td>
<td>
55.906<sup>***</sup>
</td>
<td>
63.584<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1.557)
</td>
<td>
(1.487)
</td>
<td>
(1.501)
</td>
<td>
(1.482)
</td>
<td>
(1.489)
</td>
<td>
(1.375)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.009
</td>
<td>
0.0005
</td>
<td>
0.018
</td>
<td>
0.003
</td>
<td>
0.008
</td>
<td>
-0.002
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.008
</td>
<td>
-0.001
</td>
<td>
0.017
</td>
<td>
0.001
</td>
<td>
0.007
</td>
<td>
-0.003
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error (df = 714)
</td>
<td>
29.664
</td>
<td>
28.327
</td>
<td>
28.602
</td>
<td>
28.228
</td>
<td>
28.373
</td>
<td>
26.191
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="6" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check of Duration - ATE and CACE when taking away answers that are really fast (&lt;=200s) or really slow (&gt;=1200s)

plac_age_cond_duration &lt;- plac_age_cond %&gt;%
  filter(duration &gt; 200) %&gt;%
  filter(duration &lt; 1200)
nrow(plac_age_cond_duration)</code></pre>
<p>[1] 577</p>
<pre class="r"><code>min(plac_age_cond_duration$duration)</code></pre>
<p>[1] 201</p>
<pre class="r"><code>max(plac_age_cond_duration$duration)</code></pre>
<p>[1] 1178</p>
<pre class="r"><code>percent3_m1_dur &lt;- lm(percent3 ~ Condition, data = plac_age_cond_duration) # just Condition IV

percent3_m2_dur &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond_duration) # Condition and covariates

percent3_m3_dur &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = plac_age_cond_duration) # Condition, covariates, and Combatant interaction

percent3_m4_dur &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = plac_age_cond_duration) # Condition, covariates, and CombExp interaction

percent3_m5_dur &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = plac_age_cond_duration) # Condition, covariates, and ConflZone interaction

percent3_m6_dur &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = plac_age_cond_duration) # Condition, covariates, and IHLScore interaction

percent3_m7_dur &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = plac_age_cond_duration) # Condition, covariates, and NatID interaction

percent3_m8_dur &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = plac_age_cond_duration) # Condition, covariates, and PolID interaction

stargazer(percent3_m1_dur, percent3_m2_dur, percent3_m3_dur, percent3_m4_dur, percent3_m5_dur, percent3_m6_dur, percent3_m7_dur, percent3_m8_dur, align = T, dep.var.labels = &quot;Domestic Apprehension&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.19: Effect of Violence Prime on Domestic Apprehension, Time-Limited&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.19: Effect of Violence Prime on Domestic Apprehension, Time-Limited</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Domestic Apprehension
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
56.78<sup>***</sup> (1.76)
</td>
<td>
50.96<sup>***</sup> (10.91)
</td>
<td>
50.89<sup>***</sup> (10.92)
</td>
<td>
51.23<sup>***</sup> (10.94)
</td>
<td>
50.98<sup>***</sup> (10.93)
</td>
<td>
47.29<sup>***</sup> (11.50)
</td>
<td>
59.20<sup>***</sup> (11.31)
</td>
<td>
53.96<sup>***</sup> (11.22)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-3.84 (2.45)
</td>
<td>
-3.96<sup>*</sup> (2.25)
</td>
<td>
-3.64 (2.44)
</td>
<td>
-4.29<sup>*</sup> (2.43)
</td>
<td>
-4.00 (2.44)
</td>
<td>
4.27 (8.50)
</td>
<td>
-25.45<sup>***</sup> (8.58)
</td>
<td>
-10.00<sup>*</sup> (5.77)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
0.03 (0.09)
</td>
<td>
0.03 (0.09)
</td>
<td>
0.03 (0.09)
</td>
<td>
0.03 (0.09)
</td>
<td>
0.03 (0.09)
</td>
<td>
0.02 (0.09)
</td>
<td>
0.02 (0.09)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
-1.88 (7.22)
</td>
<td>
-1.93 (7.22)
</td>
<td>
-2.00 (7.23)
</td>
<td>
-1.88 (7.22)
</td>
<td>
-1.99 (7.22)
</td>
<td>
-1.13 (7.19)
</td>
<td>
-2.05 (7.22)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
6.33<sup>***</sup> (1.14)
</td>
<td>
6.32<sup>***</sup> (1.15)
</td>
<td>
6.34<sup>***</sup> (1.14)
</td>
<td>
6.34<sup>***</sup> (1.15)
</td>
<td>
6.29<sup>***</sup> (1.14)
</td>
<td>
3.84<sup>**</sup> (1.49)
</td>
<td>
6.46<sup>***</sup> (1.15)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
-7.04<sup>***</sup> (2.28)
</td>
<td>
-7.02<sup>***</sup> (2.29)
</td>
<td>
-7.04<sup>***</sup> (2.28)
</td>
<td>
-7.05<sup>***</sup> (2.29)
</td>
<td>
-7.01<sup>***</sup> (2.28)
</td>
<td>
-6.83<sup>***</sup> (2.27)
</td>
<td>
-7.18<sup>***</sup> (2.29)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
-2.15 (2.46)
</td>
<td>
-2.12 (2.47)
</td>
<td>
-2.15 (2.47)
</td>
<td>
-2.15 (2.47)
</td>
<td>
-2.07 (2.47)
</td>
<td>
-2.30 (2.45)
</td>
<td>
-2.19 (2.46)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-1.23 (0.88)
</td>
<td>
-1.24 (0.88)
</td>
<td>
-1.22 (0.88)
</td>
<td>
-1.23 (0.88)
</td>
<td>
-1.24 (0.88)
</td>
<td>
-1.16 (0.87)
</td>
<td>
-1.23 (0.88)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
2.79<sup>***</sup> (0.99)
</td>
<td>
2.77<sup>***</sup> (0.99)
</td>
<td>
2.82<sup>***</sup> (0.99)
</td>
<td>
2.79<sup>***</sup> (0.99)
</td>
<td>
2.73<sup>***</sup> (0.99)
</td>
<td>
2.92<sup>***</sup> (0.99)
</td>
<td>
1.68 (1.39)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
10.29<sup>*</sup> (5.27)
</td>
<td>
11.52<sup>*</sup> (6.34)
</td>
<td>
10.43<sup>**</sup> (5.29)
</td>
<td>
10.29<sup>*</sup> (5.28)
</td>
<td>
10.01<sup>*</sup> (5.28)
</td>
<td>
10.66<sup>**</sup> (5.25)
</td>
<td>
10.42<sup>**</sup> (5.27)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
-2.42 (5.46)
</td>
<td>
-2.60 (5.49)
</td>
<td>
-3.70 (6.52)
</td>
<td>
-2.41 (5.46)
</td>
<td>
-1.99 (5.47)
</td>
<td>
-2.35 (5.43)
</td>
<td>
-2.17 (5.46)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
7.59<sup>*</sup> (4.13)
</td>
<td>
7.59<sup>*</sup> (4.13)
</td>
<td>
7.60<sup>*</sup> (4.13)
</td>
<td>
7.48 (5.21)
</td>
<td>
7.60<sup>*</sup> (4.13)
</td>
<td>
7.74<sup>*</sup> (4.11)
</td>
<td>
7.56<sup>*</sup> (4.13)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
-27.01<sup>***</sup> (7.12)
</td>
<td>
-27.01<sup>***</sup> (7.13)
</td>
<td>
-27.15<sup>***</sup> (7.14)
</td>
<td>
-27.01<sup>***</sup> (7.13)
</td>
<td>
-20.63<sup>**</sup> (9.54)
</td>
<td>
-26.00<sup>***</sup> (7.09)
</td>
<td>
-26.43<sup>***</sup> (7.14)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
-2.26 (6.42)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
2.37 (6.59)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.22 (6.35)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-14.03 (13.97)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
5.34<sup>***</sup> (2.06)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
2.09 (1.84)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.004
</td>
<td>
0.19
</td>
<td>
0.19
</td>
<td>
0.19
</td>
<td>
0.19
</td>
<td>
0.19
</td>
<td>
0.20
</td>
<td>
0.19
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.003
</td>
<td>
0.17
</td>
<td>
0.17
</td>
<td>
0.17
</td>
<td>
0.17
</td>
<td>
0.17
</td>
<td>
0.18
</td>
<td>
0.17
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
29.46 (df = 575)
</td>
<td>
26.88 (df = 564)
</td>
<td>
26.90 (df = 563)
</td>
<td>
26.90 (df = 563)
</td>
<td>
26.90 (df = 563)
</td>
<td>
26.88 (df = 563)
</td>
<td>
26.74 (df = 563)
</td>
<td>
26.87 (df = 563)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
2.45 (df = 1; 575)
</td>
<td>
10.80<sup>***</sup> (df = 12; 564)
</td>
<td>
9.97<sup>***</sup> (df = 13; 563)
</td>
<td>
9.97<sup>***</sup> (df = 13; 563)
</td>
<td>
9.95<sup>***</sup> (df = 13; 563)
</td>
<td>
10.05<sup>***</sup> (df = 13; 563)
</td>
<td>
10.59<sup>***</sup> (df = 13; 563)
</td>
<td>
10.08<sup>***</sup> (df = 13; 563)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>coefplot(percent3_m2_dur, main = &quot;Figure OA.9: Effect of Violence Prime on Domestic Apprehension, Time-Limited&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>percents1_m1_dur &lt;- lm(percent1 ~ Condition, data = plac_age_cond_duration) # just Condition IV

percents2_m1_dur &lt;- lm(percent2 ~ Condition, data = plac_age_cond_duration) # just Condition IV

percents3_m1_dur &lt;- lm(percent3 ~ Condition, data = plac_age_cond_duration) # just Condition IV

percents4_m1_dur &lt;- lm(percent4 ~ Condition, data = plac_age_cond_duration) # just Condition IV

percents5_m1_dur &lt;- lm(percent5 ~ Condition, data = plac_age_cond_duration) # just Condition IV

percents6_m1_dur &lt;- lm(percent6 ~ Condition, data = plac_age_cond_duration) # just Condition IV

stargazer(percents1_m1_dur, percents2_m1_dur, percents3_m1_dur,  percents4_m1_dur, percents5_m1_dur, percents6_m1_dur, align = T, dep.var.labels = c(&quot;Domestic Charge&quot;, &quot;International Charge&quot;, &quot;Domestic Apprehension&quot;, &quot;International Apprehension&quot;, &quot;Domestic Conviction&quot;, &quot;International Conviction&quot;), type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.20: Effect of Violence Prime on Charge,  Apprehension and Conviction Estimates, Time-Limited&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.20: Effect of Violence Prime on Charge, Apprehension and Conviction Estimates, Time-Limited</strong>
</caption>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="6">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="6" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
Domestic Charge
</td>
<td>
International Charge
</td>
<td>
Domestic Apprehension
</td>
<td>
International Apprehension
</td>
<td>
Domestic Conviction
</td>
<td>
International Conviction
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
54.03<sup>***</sup> (1.82)
</td>
<td>
58.80<sup>***</sup> (1.73)
</td>
<td>
56.78<sup>***</sup> (1.76)
</td>
<td>
59.18<sup>***</sup> (1.74)
</td>
<td>
55.08<sup>***</sup> (1.73)
</td>
<td>
64.22<sup>***</sup> (1.59)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-2.02 (2.54)
</td>
<td>
-0.50 (2.42)
</td>
<td>
-3.84 (2.45)
</td>
<td>
-1.64 (2.42)
</td>
<td>
-2.00 (2.41)
</td>
<td>
-0.36 (2.22)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.0001
</td>
<td>
0.004
</td>
<td>
0.001
</td>
<td>
0.001
</td>
<td>
0.0000
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
-0.001
</td>
<td>
-0.002
</td>
<td>
0.003
</td>
<td>
-0.001
</td>
<td>
-0.001
</td>
<td>
-0.002
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error (df = 575)
</td>
<td>
30.48
</td>
<td>
29.00
</td>
<td>
29.46
</td>
<td>
29.05
</td>
<td>
28.96
</td>
<td>
26.66
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic (df = 1; 575)
</td>
<td>
0.63
</td>
<td>
0.04
</td>
<td>
2.45
</td>
<td>
0.46
</td>
<td>
0.69
</td>
<td>
0.03
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="6" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>plac_age_cond_duration &lt;- plac_age_cond_duration %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))

cace_iv_percent1_dur &lt;- ivreg(percent1 ~ followup_ittd, ~Condition, data = plac_age_cond_duration)

cace_iv_percent2_dur &lt;- ivreg(percent2 ~ followup_ittd, ~Condition, data = plac_age_cond_duration)

cace_iv_percent3_dur &lt;- ivreg(percent3 ~ followup_ittd, ~Condition, data = plac_age_cond_duration)

cace_iv_percent4_dur &lt;- ivreg(percent4 ~ followup_ittd, ~Condition, data = plac_age_cond_duration)

cace_iv_percent5_dur &lt;- ivreg(percent5 ~ followup_ittd, ~Condition, data = plac_age_cond_duration)

cace_iv_percent6_dur &lt;- ivreg(percent6 ~ followup_ittd, ~Condition, data = plac_age_cond_duration)

stargazer(cace_iv_percent1_dur, cace_iv_percent2_dur, cace_iv_percent3_dur, cace_iv_percent4_dur, cace_iv_percent5_dur, cace_iv_percent6_dur, type = &#39;html&#39;, title = &quot;Table OA.21: CACE of Prime on Charge, Apprehension and Conviction Estimates, Time-Limited&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.21: CACE of Prime on Charge, Apprehension and Conviction Estimates, Time-Limited</strong>
</caption>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="6">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="6" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
percent1
</td>
<td>
percent2
</td>
<td>
percent3
</td>
<td>
percent4
</td>
<td>
percent5
</td>
<td>
percent6
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
-2.271
</td>
<td>
-0.567
</td>
<td>
-4.323
</td>
<td>
-1.841
</td>
<td>
-2.255
</td>
<td>
-0.404
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(2.847)
</td>
<td>
(2.716)
</td>
<td>
(2.745)
</td>
<td>
(2.715)
</td>
<td>
(2.705)
</td>
<td>
(2.498)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
54.032<sup>***</sup>
</td>
<td>
58.804<sup>***</sup>
</td>
<td>
56.782<sup>***</sup>
</td>
<td>
59.175<sup>***</sup>
</td>
<td>
55.082<sup>***</sup>
</td>
<td>
64.221<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1.816)
</td>
<td>
(1.732)
</td>
<td>
(1.751)
</td>
<td>
(1.732)
</td>
<td>
(1.725)
</td>
<td>
(1.593)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
<td>
577
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.008
</td>
<td>
0.001
</td>
<td>
0.015
</td>
<td>
0.006
</td>
<td>
0.008
</td>
<td>
0.001
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.006
</td>
<td>
-0.0003
</td>
<td>
0.014
</td>
<td>
0.004
</td>
<td>
0.006
</td>
<td>
-0.001
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error (df = 575)
</td>
<td>
30.379
</td>
<td>
28.981
</td>
<td>
29.294
</td>
<td>
28.975
</td>
<td>
28.865
</td>
<td>
26.653
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="6" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check for Non-naivete

percent3_followup &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + followup2_1, data = plac_age_cond) # Condition and covariates, plus non-naivete question
stargazer(percent3_followup, type = &#39;html&#39;, title = &quot;Table OA.22: Robustness Check for Non-naivete on Domestic Apprehension Risk Perception&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.22: Robustness Check for Non-naivete on Domestic Apprehension Risk Perception</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
percent3
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-3.689<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1.976)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
0.009
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.080)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
3.314
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(6.414)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
6.228<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.993)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
-7.002<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(2.024)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
-0.469
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(2.142)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
-0.840
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.777)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
2.701<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.854)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
1.810
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(4.526)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
1.944
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(4.677)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
5.673
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(3.521)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
-21.586<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(6.360)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
followup2_1
</td>
<td>
10.451<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(3.745)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
42.654<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(9.566)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
716
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.186
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.171
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
26.263 (df = 702)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
12.360<sup>***</sup> (df = 13; 702)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code># Mediation Effects

## Single Mediation of effect of Condition (X) on percent3 (Y) by Emotions Score (M)
med.fit.percent3 &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond)
out.fit.percent3 &lt;- lm(percent3 ~ EmotionScore + Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond)
med.out.percent3 &lt;- mediate(med.fit.percent3, out.fit.percent3, treat = &quot;Condition&quot;, mediator = &quot;EmotionScore&quot;, robustSE = T, sims = 1000)
summary(med.out.percent3) # mediation effect not significant (ACME), the direct effect (ADE) of the Condition on the percent3 is not significant</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value  </code></pre>
<p>ACME -0.02932 -0.39270 0.38 0.832<br />
ADE -3.42822 -7.46243 0.50 0.094 . Total Effect -3.45754 -7.44581 0.37 0.092 . Prop. Mediated 0.00596 -0.21518 0.35 0.852<br />
— Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 716</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.percent3, main = &quot;Figure OA.10: ACME of EmotionScore on Percent3&quot;)</code></pre>
<p><img 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" 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<pre class="r"><code>## Single Mediation of effect of Condition (X) on percent3 (Y) by Morals Score (M)
med.fit2.percent3 &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond)
out.fit2.percent3 &lt;- lm(percent3 ~ MoralScore + Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = plac_age_cond)
med.out2.percent3 &lt;- mediate(med.fit2.percent3, out.fit2.percent3, treat = &quot;Condition&quot;, mediator = &quot;MoralScore&quot;, robustSE = T, sims = 1000)
summary(med.out2.percent3) # the direct effect (ADE) of the Condition on percent3 is not significant, the mediation effect (ACME) is also not significant</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value</code></pre>
<p>ACME -0.0682 -0.4173 0.17 0.60 ADE -3.3656 -7.3820 0.62 0.10 Total Effect -3.4338 -7.5765 0.48 0.10 Prop. Mediated 0.0102 -0.1611 0.24 0.66</p>
<p>Sample Size Used: 716</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out2.percent3, main = &quot;Figure OA.11: ACME of MoralScore on Percent3&quot;)</code></pre>
<p><img 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" width="672" /></p>
</div>
</div>
<div id="mentalization-hypothesis-testing-h4" class="section level2">
<h2>Mentalization Hypothesis Testing (H4)</h2>
<div id="effect-of-mentalization-on-emotions-score" class="section level3">
<h3>Effect of Mentalization on Emotions Score</h3>
<pre class="r"><code># Effect of Mentalization on Emotions Score, 8 OLS Models - None are significant

emotions_m1_av &lt;- lm(EmotionScore ~ Condition, data = age_vegi_cond) # just Condition IV

emotions_m2_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond) # Condition and covariates

emotions_m3_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = age_vegi_cond) # Condition, covariates, and Combatant interaction

emotions_m4_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = age_vegi_cond) # Condition, covariates, and CombExp interaction

emotions_m5_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = age_vegi_cond) # Condition, covariates, and ConflZone interaction

emotions_m6_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = age_vegi_cond) # Condition, covariates, and IHLScore interaction

emotions_m7_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = age_vegi_cond) # Condition, covariates, and NatID interaction

emotions_m8_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = age_vegi_cond) # Condition, covariates, and PolID interaction

## Coefficient Table Stargazer

stargazer(emotions_m1_av, emotions_m2_av, emotions_m3_av, emotions_m4_av, emotions_m5_av, emotions_m6_av, emotions_m7_av, emotions_m8_av, align = T, dep.var.labels = &quot;Emotions Score&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.23: Effect of Mentalization on Secondary Emotion Attribution&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.23: Effect of Mentalization on Secondary Emotion Attribution</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Emotions Score
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.49<sup>***</sup> (0.05)
</td>
<td>
4.73<sup>***</sup> (0.35)
</td>
<td>
4.71<sup>***</sup> (0.36)
</td>
<td>
4.72<sup>***</sup> (0.36)
</td>
<td>
4.75<sup>***</sup> (0.36)
</td>
<td>
4.67<sup>***</sup> (0.38)
</td>
<td>
4.57<sup>***</sup> (0.39)
</td>
<td>
4.75<sup>***</sup> (0.36)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-0.01 (0.07)
</td>
<td>
0.02 (0.07)
</td>
<td>
0.03 (0.08)
</td>
<td>
0.02 (0.08)
</td>
<td>
-0.005 (0.08)
</td>
<td>
0.13 (0.29)
</td>
<td>
0.27 (0.27)
</td>
<td>
-0.04 (0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
-0.25 (0.24)
</td>
<td>
-0.24 (0.24)
</td>
<td>
-0.24 (0.24)
</td>
<td>
-0.26 (0.24)
</td>
<td>
-0.24 (0.24)
</td>
<td>
-0.23 (0.24)
</td>
<td>
-0.24 (0.24)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
0.04 (0.03)
</td>
<td>
0.04 (0.03)
</td>
<td>
0.04 (0.03)
</td>
<td>
0.04 (0.03)
</td>
<td>
0.04 (0.03)
</td>
<td>
0.08 (0.05)
</td>
<td>
0.04 (0.03)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
0.04 (0.07)
</td>
<td>
0.04 (0.07)
</td>
<td>
0.04 (0.07)
</td>
<td>
0.04 (0.07)
</td>
<td>
0.04 (0.07)
</td>
<td>
0.04 (0.07)
</td>
<td>
0.04 (0.07)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
0.04 (0.08)
</td>
<td>
0.04 (0.08)
</td>
<td>
0.04 (0.08)
</td>
<td>
0.04 (0.08)
</td>
<td>
0.04 (0.08)
</td>
<td>
0.04 (0.08)
</td>
<td>
0.04 (0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
-0.0003 (0.03)
</td>
<td>
-0.0001 (0.03)
</td>
<td>
-0.0003 (0.03)
</td>
<td>
0.001 (0.03)
</td>
<td>
0.001 (0.03)
</td>
<td>
-0.002 (0.03)
</td>
<td>
-0.01 (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
-0.02 (0.15)
</td>
<td>
0.03 (0.19)
</td>
<td>
-0.02 (0.15)
</td>
<td>
-0.01 (0.15)
</td>
<td>
-0.02 (0.15)
</td>
<td>
-0.01 (0.15)
</td>
<td>
-0.02 (0.15)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
0.28<sup>*</sup> (0.16)
</td>
<td>
0.28<sup>*</sup> (0.16)
</td>
<td>
0.29 (0.19)
</td>
<td>
0.27<sup>*</sup> (0.16)
</td>
<td>
0.29<sup>*</sup> (0.16)
</td>
<td>
0.28<sup>*</sup> (0.16)
</td>
<td>
0.28<sup>*</sup> (0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
0.07 (0.13)
</td>
<td>
0.07 (0.13)
</td>
<td>
0.07 (0.13)
</td>
<td>
-0.003 (0.16)
</td>
<td>
0.07 (0.13)
</td>
<td>
0.07 (0.13)
</td>
<td>
0.07 (0.13)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
-0.44<sup>*</sup> (0.25)
</td>
<td>
-0.44<sup>*</sup> (0.25)
</td>
<td>
-0.44<sup>*</sup> (0.25)
</td>
<td>
-0.44<sup>*</sup> (0.25)
</td>
<td>
-0.35 (0.34)
</td>
<td>
-0.42<sup>*</sup> (0.25)
</td>
<td>
-0.45<sup>*</sup> (0.25)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
-0.09 (0.20)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.02 (0.21)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.17 (0.21)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.20 (0.48)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.06 (0.06)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.02 (0.06)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.0000
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
-0.001
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.94 (df = 708)
</td>
<td>
0.94 (df = 697)
</td>
<td>
0.94 (df = 696)
</td>
<td>
0.94 (df = 696)
</td>
<td>
0.94 (df = 696)
</td>
<td>
0.94 (df = 696)
</td>
<td>
0.94 (df = 696)
</td>
<td>
0.94 (df = 696)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
0.01 (df = 1; 708)
</td>
<td>
1.65<sup>*</sup> (df = 12; 697)
</td>
<td>
1.53 (df = 13; 696)
</td>
<td>
1.52 (df = 13; 696)
</td>
<td>
1.57<sup>*</sup> (df = 13; 696)
</td>
<td>
1.53 (df = 13; 696)
</td>
<td>
1.59<sup>*</sup> (df = 13; 696)
</td>
<td>
1.53 (df = 13; 696)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>coefplot(emotions_m2_av, main = &quot;Figure OA.12: Effect of Mentalization on Secondary Emotion Attribution&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code># Robustness Checks

## Emotions P-values under the sharp null hypothesis
set.seed(103648)
emotions_Z_av &lt;- age_vegi_cond$Condition #treatment vector
emotions_Y_av &lt;- age_vegi_cond$EmotionScore #outcome vector
emotions_probs_av &lt;- genprobexact(Z = emotions_Z_av)
emotions_ate_av &lt;- estate(Y = emotions_Y_av, Z = emotions_Z_av, prob = emotions_probs_av)
emotions_ate_av #-0.005459408</code></pre>
<p>[1] -0.005459408</p>
<pre class="r"><code>emotions_perms_av &lt;- genperms(emotions_Z_av, maxiter = 10000) #enumerate all possible ways of random assignment</code></pre>
<p>Too many permutations to use exact method. Defaulting to approximate method. Increase maxiter to at least 1.59429354971075e+212 to perform exact estimation.</p>
<pre class="r"><code>emotions_Ys_av &lt;- genouts(Y = emotions_Y_av, Z = emotions_Z_av, ate = 0) #generate full schedule of potential outcomes under exact H0, (ITT/ATE = 0)
emotions_distout_av &lt;- gendist(emotions_Ys_av, emotions_perms_av, prob=emotions_probs_av) # generate randomization distribution 
emotions_dist_av &lt;- dispdist(emotions_distout_av, emotions_ate_av)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>emotions_abs_p_av &lt;- mean(abs(emotions_distout_av) &gt;= abs(emotions_ate_av)) #two-tailed test
emotions_abs_p_av #0.969 p-value</code></pre>
<p>[1] 0.969</p>
<pre class="r"><code>## CACE for Age-Vegi Group

age_vegi_cond &lt;- age_vegi_cond %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))

cace_iv_emotions_av &lt;- ivreg(EmotionScore ~ followup_ittd, ~Condition, data = age_vegi_cond)
stargazer(cace_iv_emotions_av, type = &#39;html&#39;, title = &quot;Table OA.24: CACE of Mentalization on Secondary Emotion Attribution&quot;) # CACE Insignificant</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.24: CACE of Mentalization on Secondary Emotion Attribution</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
EmotionScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
-0.007
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.085)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.487<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.050)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
710
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.0003
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
-0.001
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.941 (df = 708)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check of Duration - ATE and CACE when taking away answers that are really fast (&lt;=200s) or really slow (&gt;=1200s)

age_vegi_cond_duration &lt;- age_vegi_cond %&gt;%
  filter(duration &gt; 200) %&gt;%
  filter(duration &lt; 1200)
nrow(age_vegi_cond_duration)</code></pre>
<p>[1] 597</p>
<pre class="r"><code>min(age_vegi_cond_duration$duration)</code></pre>
<p>[1] 201</p>
<pre class="r"><code>max(age_vegi_cond_duration$duration)</code></pre>
<p>[1] 1178</p>
<pre class="r"><code>emotions_m1_dur_av &lt;- lm(EmotionScore ~ Condition, data = age_vegi_cond_duration) # just Condition IV

emotions_m2_dur_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond_duration) # Condition and covariates

emotions_m3_dur_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = age_vegi_cond_duration) # Condition, covariates, and Combatant interaction

emotions_m4_dur_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = age_vegi_cond_duration) # Condition, covariates, and CombExp interaction

emotions_m5_dur_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = age_vegi_cond_duration) # Condition, covariates, and ConflZone interaction

emotions_m6_dur_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = age_vegi_cond_duration) # Condition, covariates, and IHLScore interaction

emotions_m7_dur_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = age_vegi_cond_duration) # Condition, covariates, and NatID interaction

emotions_m8_dur_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = age_vegi_cond_duration) # Condition, covariates, and PolID interaction

stargazer(emotions_m1_dur_av, emotions_m2_dur_av, emotions_m3_dur_av, emotions_m4_dur_av, emotions_m5_dur_av, emotions_m6_dur_av, emotions_m7_dur_av, emotions_m8_dur_av, align = T, dep.var.labels = &quot;Emotions Score&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.25: Effect of Mentalization on Secondary Emotion Attribution, Time-Limited&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.25: Effect of Mentalization on Secondary Emotion Attribution, Time-Limited</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Emotions Score
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.49<sup>***</sup> (0.05)
</td>
<td>
4.78<sup>***</sup> (0.36)
</td>
<td>
4.76<sup>***</sup> (0.36)
</td>
<td>
4.79<sup>***</sup> (0.36)
</td>
<td>
4.79<sup>***</sup> (0.36)
</td>
<td>
4.85<sup>***</sup> (0.39)
</td>
<td>
4.56<sup>***</sup> (0.40)
</td>
<td>
4.76<sup>***</sup> (0.37)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-0.08 (0.07)
</td>
<td>
-0.07 (0.07)
</td>
<td>
-0.05 (0.08)
</td>
<td>
-0.07 (0.08)
</td>
<td>
-0.08 (0.08)
</td>
<td>
-0.20 (0.30)
</td>
<td>
0.27 (0.28)
</td>
<td>
-0.03 (0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
<td>
-0.001 (0.003)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
-0.28 (0.24)
</td>
<td>
-0.27 (0.24)
</td>
<td>
-0.28 (0.24)
</td>
<td>
-0.28 (0.24)
</td>
<td>
-0.28 (0.24)
</td>
<td>
-0.25 (0.24)
</td>
<td>
-0.28 (0.24)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
0.04 (0.04)
</td>
<td>
0.04 (0.04)
</td>
<td>
0.04 (0.04)
</td>
<td>
0.04 (0.04)
</td>
<td>
0.04 (0.04)
</td>
<td>
0.09 (0.05)
</td>
<td>
0.04 (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
-0.03 (0.07)
</td>
<td>
-0.03 (0.07)
</td>
<td>
-0.03 (0.07)
</td>
<td>
-0.03 (0.07)
</td>
<td>
-0.03 (0.07)
</td>
<td>
-0.03 (0.07)
</td>
<td>
-0.03 (0.07)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
0.13 (0.08)
</td>
<td>
0.13 (0.08)
</td>
<td>
0.13 (0.08)
</td>
<td>
0.13 (0.08)
</td>
<td>
0.13 (0.08)
</td>
<td>
0.12 (0.08)
</td>
<td>
0.13 (0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
-0.003 (0.03)
</td>
<td>
-0.003 (0.03)
</td>
<td>
-0.003 (0.03)
</td>
<td>
-0.002 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
-0.01 (0.03)
</td>
<td>
0.003 (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
-0.23 (0.16)
</td>
<td>
-0.19 (0.20)
</td>
<td>
-0.23 (0.16)
</td>
<td>
-0.22 (0.16)
</td>
<td>
-0.23 (0.16)
</td>
<td>
-0.22 (0.16)
</td>
<td>
-0.23 (0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
0.35<sup>*</sup> (0.18)
</td>
<td>
0.35<sup>*</sup> (0.18)
</td>
<td>
0.32 (0.20)
</td>
<td>
0.35<sup>*</sup> (0.18)
</td>
<td>
0.35<sup>*</sup> (0.18)
</td>
<td>
0.35<sup>*</sup> (0.18)
</td>
<td>
0.35<sup>*</sup> (0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
0.06 (0.14)
</td>
<td>
0.05 (0.14)
</td>
<td>
0.05 (0.14)
</td>
<td>
0.001 (0.17)
</td>
<td>
0.06 (0.14)
</td>
<td>
0.06 (0.14)
</td>
<td>
0.05 (0.14)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
-0.23 (0.25)
</td>
<td>
-0.23 (0.25)
</td>
<td>
-0.23 (0.25)
</td>
<td>
-0.23 (0.25)
</td>
<td>
-0.34 (0.34)
</td>
<td>
-0.21 (0.25)
</td>
<td>
-0.23 (0.26)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
-0.08 (0.22)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.07 (0.23)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.13 (0.23)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.23 (0.49)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.08 (0.07)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.01 (0.06)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.002
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
<td>
0.03
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
<td>
0.01
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.89 (df = 595)
</td>
<td>
0.89 (df = 584)
</td>
<td>
0.89 (df = 583)
</td>
<td>
0.89 (df = 583)
</td>
<td>
0.89 (df = 583)
</td>
<td>
0.89 (df = 583)
</td>
<td>
0.89 (df = 583)
</td>
<td>
0.89 (df = 583)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
1.36 (df = 1; 595)
</td>
<td>
1.41 (df = 12; 584)
</td>
<td>
1.31 (df = 13; 583)
</td>
<td>
1.30 (df = 13; 583)
</td>
<td>
1.32 (df = 13; 583)
</td>
<td>
1.31 (df = 13; 583)
</td>
<td>
1.42 (df = 13; 583)
</td>
<td>
1.30 (df = 13; 583)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>coefplot(emotions_m2_dur_av, main = &quot;Figure OA.13: Effect of Mentalization on Secondary Emotion Attribution, Time-Limited&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>age_vegi_cond_duration &lt;- age_vegi_cond_duration %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))
cace_iv_dur_av &lt;- ivreg(EmotionScore ~ followup_ittd, ~Condition, data = age_vegi_cond_duration)
stargazer(cace_iv_dur_av, type = &#39;html&#39;, title = &quot;Table OA.26: CACE of Mentalization on Secondary Emotion Attribution, Time-Limited&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.26: CACE of Mentalization on Secondary Emotion Attribution, Time-Limited</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
EmotionScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
-0.099
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.085)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.495<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.052)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
597
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.004
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.003
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.889 (df = 595)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check for Non-naivete

emotions_followup_av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + followup2_1, data = age_vegi_cond) # Condition and covariates, plus non-naivete question
stargazer(emotions_followup_av, type = &#39;html&#39;, title = &quot;Table OA.27: Robustness Check for Non-naivete on Emotions Attribution, Mentalization Condition&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.27: Robustness Check for Non-naivete on Emotions Attribution, Mentalization Condition</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
EmotionScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
0.016
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.071)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
-0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.003)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
-0.241
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.236)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
0.042
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.034)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
0.039
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.073)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
0.038
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.076)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
-0.009
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.029)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
-0.0002
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.030)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
-0.022
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.153)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
0.273
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.169)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
0.067
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.134)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
-0.432<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.249)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
followup2_1
</td>
<td>
0.036
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.128)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.719<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.356)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
710
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.028
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.010
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
0.936 (df = 696)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
1.524 (df = 13; 696)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
</div>
<div id="effect-of-mentalization-on-morals-score" class="section level3">
<h3>Effect of Mentalization on Morals Score</h3>
<pre class="r"><code># Effect of Mentalization on Morals Score

morals_m1_av &lt;- lm(MoralScore ~ Condition, data = age_vegi_cond) # just Condition 

morals_m2_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond) # Condition and covariates

morals_m3_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = age_vegi_cond) # Condition, covariates, and Combatant interaction

morals_m4_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = age_vegi_cond) # Condition, covariates, and CombExp interaction

morals_m5_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = age_vegi_cond) # Condition, covariates, and ConflZone interaction

morals_m6_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = age_vegi_cond) # Condition, covariates, and IHLScore interaction

morals_m7_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = age_vegi_cond) # Condition, covariates, and NatID interaction

morals_m8_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = age_vegi_cond) # Condition, covariates, and PolID interaction

## Coefficient Table Stargazer

stargazer(morals_m1_av, morals_m2_av, morals_m3_av, morals_m4_av, morals_m5_av, morals_m6_av, morals_m7_av, morals_m8_av, align = T, dep.var.labels = &quot;Morals Score&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.28: Effect of Mentalization on Morals Score&quot;, model.names = T, single.row = T) # significant negative impact</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.28: Effect of Mentalization on Morals Score</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Morals Score
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.71<sup>***</sup> (0.08)
</td>
<td>
5.29<sup>***</sup> (0.49)
</td>
<td>
5.33<sup>***</sup> (0.49)
</td>
<td>
5.34<sup>***</sup> (0.49)
</td>
<td>
5.32<sup>***</sup> (0.49)
</td>
<td>
4.94<sup>***</sup> (0.53)
</td>
<td>
5.51<sup>***</sup> (0.54)
</td>
<td>
5.18<sup>***</sup> (0.50)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-0.10 (0.11)
</td>
<td>
-0.20<sup>**</sup> (0.10)
</td>
<td>
-0.24<sup>**</sup> (0.11)
</td>
<td>
-0.26<sup>**</sup> (0.10)
</td>
<td>
-0.23<sup>**</sup> (0.10)
</td>
<td>
0.46 (0.39)
</td>
<td>
-0.55 (0.37)
</td>
<td>
0.04 (0.24)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
-0.08 (0.32)
</td>
<td>
-0.10 (0.32)
</td>
<td>
-0.10 (0.32)
</td>
<td>
-0.10 (0.32)
</td>
<td>
-0.07 (0.32)
</td>
<td>
-0.11 (0.32)
</td>
<td>
-0.10 (0.32)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
-0.22<sup>***</sup> (0.05)
</td>
<td>
-0.22<sup>***</sup> (0.05)
</td>
<td>
-0.22<sup>***</sup> (0.05)
</td>
<td>
-0.22<sup>***</sup> (0.05)
</td>
<td>
-0.22<sup>***</sup> (0.05)
</td>
<td>
-0.27<sup>***</sup> (0.07)
</td>
<td>
-0.22<sup>***</sup> (0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
0.15 (0.10)
</td>
<td>
0.15 (0.10)
</td>
<td>
0.14 (0.10)
</td>
<td>
0.15 (0.10)
</td>
<td>
0.15 (0.10)
</td>
<td>
0.15 (0.10)
</td>
<td>
0.14 (0.10)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
-0.26<sup>**</sup> (0.11)
</td>
<td>
-0.25<sup>**</sup> (0.11)
</td>
<td>
-0.25<sup>**</sup> (0.10)
</td>
<td>
-0.26<sup>**</sup> (0.11)
</td>
<td>
-0.26<sup>**</sup> (0.11)
</td>
<td>
-0.25<sup>**</sup> (0.11)
</td>
<td>
-0.26<sup>**</sup> (0.11)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-0.07<sup>*</sup> (0.04)
</td>
<td>
-0.07<sup>*</sup> (0.04)
</td>
<td>
-0.07<sup>*</sup> (0.04)
</td>
<td>
-0.07<sup>*</sup> (0.04)
</td>
<td>
-0.07<sup>*</sup> (0.04)
</td>
<td>
-0.07<sup>*</sup> (0.04)
</td>
<td>
-0.07<sup>*</sup> (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
-0.29<sup>***</sup> (0.04)
</td>
<td>
-0.29<sup>***</sup> (0.04)
</td>
<td>
-0.29<sup>***</sup> (0.04)
</td>
<td>
-0.29<sup>***</sup> (0.04)
</td>
<td>
-0.29<sup>***</sup> (0.04)
</td>
<td>
-0.29<sup>***</sup> (0.04)
</td>
<td>
-0.25<sup>***</sup> (0.06)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
0.07 (0.21)
</td>
<td>
-0.05 (0.26)
</td>
<td>
0.07 (0.21)
</td>
<td>
0.08 (0.21)
</td>
<td>
0.06 (0.21)
</td>
<td>
0.06 (0.21)
</td>
<td>
0.08 (0.21)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
-0.67<sup>***</sup> (0.22)
</td>
<td>
-0.67<sup>***</sup> (0.22)
</td>
<td>
-0.86<sup>***</sup> (0.26)
</td>
<td>
-0.69<sup>***</sup> (0.23)
</td>
<td>
-0.67<sup>***</sup> (0.22)
</td>
<td>
-0.67<sup>***</sup> (0.22)
</td>
<td>
-0.68<sup>***</sup> (0.22)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
-0.20 (0.18)
</td>
<td>
-0.19 (0.18)
</td>
<td>
-0.22 (0.18)
</td>
<td>
-0.30 (0.22)
</td>
<td>
-0.20 (0.18)
</td>
<td>
-0.20 (0.18)
</td>
<td>
-0.21 (0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
1.26<sup>***</sup> (0.34)
</td>
<td>
1.26<sup>***</sup> (0.34)
</td>
<td>
1.26<sup>***</sup> (0.34)
</td>
<td>
1.26<sup>***</sup> (0.34)
</td>
<td>
1.80<sup>***</sup> (0.46)
</td>
<td>
1.24<sup>***</sup> (0.34)
</td>
<td>
1.29<sup>***</sup> (0.34)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
0.23 (0.28)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.45 (0.29)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.24 (0.30)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-1.14<sup>*</sup> (0.66)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.09 (0.09)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.09 (0.08)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.23
</td>
<td>
0.23
</td>
<td>
0.23
</td>
<td>
0.23
</td>
<td>
0.23
</td>
<td>
0.23
</td>
<td>
0.23
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
-0.0002
</td>
<td>
0.22
</td>
<td>
0.22
</td>
<td>
0.22
</td>
<td>
0.22
</td>
<td>
0.22
</td>
<td>
0.22
</td>
<td>
0.22
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.45 (df = 708)
</td>
<td>
1.29 (df = 697)
</td>
<td>
1.29 (df = 696)
</td>
<td>
1.29 (df = 696)
</td>
<td>
1.29 (df = 696)
</td>
<td>
1.29 (df = 696)
</td>
<td>
1.29 (df = 696)
</td>
<td>
1.29 (df = 696)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
0.87 (df = 1; 708)
</td>
<td>
17.24<sup>***</sup> (df = 12; 697)
</td>
<td>
15.96<sup>***</sup> (df = 13; 696)
</td>
<td>
16.13<sup>***</sup> (df = 13; 696)
</td>
<td>
15.95<sup>***</sup> (df = 13; 696)
</td>
<td>
16.19<sup>***</sup> (df = 13; 696)
</td>
<td>
15.98<sup>***</sup> (df = 13; 696)
</td>
<td>
16.01<sup>***</sup> (df = 13; 696)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>coefplot(morals_m2_av, main = &quot;Figure OA.14: Effect of Mentalization on Morals Score&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code># Robustness Checks

## Morals P-value under the sharp null hypothesis

set.seed(103648)
morals_Z_av &lt;- age_vegi_cond$Condition #treatment vector
morals_Y_av &lt;- age_vegi_cond$MoralScore #outcome vector
morals_probs_av &lt;- genprobexact(Z = morals_Z_av)
morals_ate_av &lt;- estate(Y = morals_Y_av, Z = morals_Z_av, prob = morals_probs_av)
morals_ate_av #-0.101778</code></pre>
<p>[1] -0.101778</p>
<pre class="r"><code>morals_perms_av &lt;- genperms(morals_Z_av, maxiter = 10000) #enumerate all possible ways of random assignment</code></pre>
<p>Too many permutations to use exact method. Defaulting to approximate method. Increase maxiter to at least 1.59429354971075e+212 to perform exact estimation.</p>
<pre class="r"><code>morals_Ys_av &lt;- genouts(Y = morals_Y_av, Z = morals_Z_av, ate = 0) #generate full schedule of potential outcomes under exact H0, (ITT/ATE = 0)
morals_distout_av &lt;- gendist(morals_Ys_av, morals_perms_av, prob=morals_probs_av) # generate randomization distribution 
morals_dist_av &lt;- dispdist(morals_distout_av, morals_ate_av)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>morals_abs_p_av &lt;- mean(abs(morals_distout_av) &gt;= abs(morals_ate_av)) #two-tailed test
morals_abs_p_av #0.3545 p-value</code></pre>
<p>[1] 0.3545</p>
<pre class="r"><code>## CACE for age-Vegi Group

age_vegi_cond &lt;- age_vegi_cond %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))

cace_iv_morals_av &lt;- ivreg(MoralScore ~ followup_ittd, ~Condition, data = age_vegi_cond)
stargazer(cace_iv_morals_av, type = &#39;html&#39;, title = &quot;Table OA.29: CACE of Mentalization on Morals Score&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.29: CACE of Mentalization on Morals Score</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
MoralScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
-0.123
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.132)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.709<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.078)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
710
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
-0.004
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
-0.005
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.458 (df = 708)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check of Duration - ATE and CACE when taking away answers that are really fast (&lt;=200s) or really slow (&gt;=1200s)

morals_m1_dur_av &lt;- lm(MoralScore ~ Condition, data = age_vegi_cond_duration) # just Condition IV

morals_m2_dur_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond_duration) # Condition and covariates

morals_m3_dur_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*Combatant, data = age_vegi_cond_duration) # Condition, covariates, and Combatant interaction

morals_m4_dur_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*CombExp, data = age_vegi_cond_duration) # Condition, covariates, and CombExp interaction

morals_m5_dur_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*ConflZone, data = age_vegi_cond_duration) # Condition, covariates, and ConflZone interaction

morals_m6_dur_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*IHLScore, data = age_vegi_cond_duration) # Condition, covariates, and IHLScore interaction

morals_m7_dur_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*NatID, data = age_vegi_cond_duration) # Condition, covariates, and NatID interaction

morals_m8_dur_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + Condition*PolID, data = age_vegi_cond_duration) # Condition, covariates, and PolID interaction

stargazer(morals_m1_dur_av, morals_m2_dur_av, morals_m3_dur_av, morals_m4_dur_av, morals_m5_dur_av, morals_m6_dur_av, morals_m7_dur_av, morals_m8_dur_av, align = T, dep.var.labels = &quot;Morals Score&quot;, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.30: Effect of Mentalization on Morals Score, Time-Limited&quot;, model.names = T, single.row = T) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.30: Effect of Mentalization on Morals Score, Time-Limited</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Morals Score
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.75<sup>***</sup> (0.08)
</td>
<td>
5.23<sup>***</sup> (0.53)
</td>
<td>
5.25<sup>***</sup> (0.54)
</td>
<td>
5.28<sup>***</sup> (0.53)
</td>
<td>
5.24<sup>***</sup> (0.53)
</td>
<td>
4.77<sup>***</sup> (0.58)
</td>
<td>
5.48<sup>***</sup> (0.59)
</td>
<td>
5.03<sup>***</sup> (0.55)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-0.09 (0.12)
</td>
<td>
-0.22<sup>**</sup> (0.11)
</td>
<td>
-0.24<sup>**</sup> (0.12)
</td>
<td>
-0.26<sup>**</sup> (0.11)
</td>
<td>
-0.23<sup>*</sup> (0.12)
</td>
<td>
0.64 (0.44)
</td>
<td>
-0.61 (0.41)
</td>
<td>
0.20 (0.27)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.005)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
<td>
0.02<sup>***</sup> (0.005)
</td>
<td>
0.02<sup>***</sup> (0.004)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
-0.04 (0.35)
</td>
<td>
-0.05 (0.35)
</td>
<td>
-0.05 (0.35)
</td>
<td>
-0.04 (0.35)
</td>
<td>
-0.03 (0.35)
</td>
<td>
-0.07 (0.35)
</td>
<td>
-0.08 (0.35)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
-0.21<sup>***</sup> (0.05)
</td>
<td>
-0.21<sup>***</sup> (0.05)
</td>
<td>
-0.21<sup>***</sup> (0.05)
</td>
<td>
-0.21<sup>***</sup> (0.05)
</td>
<td>
-0.21<sup>***</sup> (0.05)
</td>
<td>
-0.26<sup>***</sup> (0.08)
</td>
<td>
-0.21<sup>***</sup> (0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
0.14 (0.11)
</td>
<td>
0.14 (0.11)
</td>
<td>
0.13 (0.11)
</td>
<td>
0.14 (0.11)
</td>
<td>
0.14 (0.11)
</td>
<td>
0.14 (0.11)
</td>
<td>
0.13 (0.11)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
-0.30<sup>***</sup> (0.12)
</td>
<td>
-0.30<sup>***</sup> (0.12)
</td>
<td>
-0.30<sup>**</sup> (0.12)
</td>
<td>
-0.30<sup>***</sup> (0.12)
</td>
<td>
-0.32<sup>***</sup> (0.12)
</td>
<td>
-0.30<sup>***</sup> (0.12)
</td>
<td>
-0.31<sup>***</sup> (0.12)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
<td>
-0.05 (0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
-0.28<sup>***</sup> (0.05)
</td>
<td>
-0.28<sup>***</sup> (0.05)
</td>
<td>
-0.28<sup>***</sup> (0.05)
</td>
<td>
-0.28<sup>***</sup> (0.05)
</td>
<td>
-0.27<sup>***</sup> (0.05)
</td>
<td>
-0.28<sup>***</sup> (0.05)
</td>
<td>
-0.21<sup>***</sup> (0.06)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
-0.01 (0.23)
</td>
<td>
-0.06 (0.29)
</td>
<td>
-0.02 (0.24)
</td>
<td>
-0.01 (0.24)
</td>
<td>
-0.01 (0.23)
</td>
<td>
-0.02 (0.24)
</td>
<td>
0.003 (0.23)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
-0.54<sup>**</sup> (0.27)
</td>
<td>
-0.54<sup>**</sup> (0.27)
</td>
<td>
-0.68<sup>**</sup> (0.30)
</td>
<td>
-0.54<sup>**</sup> (0.27)
</td>
<td>
-0.53<sup>**</sup> (0.27)
</td>
<td>
-0.53<sup>**</sup> (0.27)
</td>
<td>
-0.54<sup>**</sup> (0.27)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
-0.25 (0.21)
</td>
<td>
-0.25 (0.21)
</td>
<td>
-0.26 (0.21)
</td>
<td>
-0.26 (0.26)
</td>
<td>
-0.26 (0.21)
</td>
<td>
-0.25 (0.21)
</td>
<td>
-0.27 (0.21)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
1.26<sup>***</sup> (0.37)
</td>
<td>
1.26<sup>***</sup> (0.37)
</td>
<td>
1.25<sup>***</sup> (0.37)
</td>
<td>
1.26<sup>***</sup> (0.37)
</td>
<td>
1.95<sup>***</sup> (0.51)
</td>
<td>
1.23<sup>***</sup> (0.37)
</td>
<td>
1.34<sup>***</sup> (0.38)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:Combatant
</td>
<td>
</td>
<td>
</td>
<td>
0.10 (0.32)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:CombExp
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.35 (0.34)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:ConflZone
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.03 (0.34)
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-1.46<sup>**</sup> (0.72)
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:NatID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
0.10 (0.10)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Condition:PolID
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.15<sup>*</sup> (0.09)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.22
</td>
<td>
0.22
</td>
<td>
0.22
</td>
<td>
0.22
</td>
<td>
0.23
</td>
<td>
0.22
</td>
<td>
0.22
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
-0.001
</td>
<td>
0.20
</td>
<td>
0.20
</td>
<td>
0.20
</td>
<td>
0.20
</td>
<td>
0.21
</td>
<td>
0.20
</td>
<td>
0.21
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.46 (df = 595)
</td>
<td>
1.31 (df = 584)
</td>
<td>
1.31 (df = 583)
</td>
<td>
1.31 (df = 583)
</td>
<td>
1.31 (df = 583)
</td>
<td>
1.30 (df = 583)
</td>
<td>
1.31 (df = 583)
</td>
<td>
1.30 (df = 583)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
0.60 (df = 1; 595)
</td>
<td>
13.80<sup>***</sup> (df = 12; 584)
</td>
<td>
12.73<sup>***</sup> (df = 13; 583)
</td>
<td>
12.82<sup>***</sup> (df = 13; 583)
</td>
<td>
12.72<sup>***</sup> (df = 13; 583)
</td>
<td>
13.12<sup>***</sup> (df = 13; 583)
</td>
<td>
12.81<sup>***</sup> (df = 13; 583)
</td>
<td>
13.00<sup>***</sup> (df = 13; 583)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>coefplot(morals_m2_dur_av, main = &quot;Figure OA.15: Effect of Mentalization on Morals Score, Time-Limited&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>age_vegi_cond_duration &lt;- age_vegi_cond_duration %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))
cace_iv_morals_dur_av &lt;- ivreg(MoralScore ~ followup_ittd, ~Condition, data = age_vegi_cond_duration)
stargazer(cace_iv_morals_dur_av, type = &#39;html&#39;, title = &quot;Table OA.31: CACE of Mentalization on Morals Score, Time-Limited&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.31: CACE of Mentalization on Morals Score, Time-Limited</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
MoralScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
-0.109
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.140)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.751<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.085)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
597
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
-0.004
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
-0.005
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.468 (df = 595)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check for Non-naivete

morals_followup_av &lt;- lm(MoralScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + followup2_1, data = age_vegi_cond) # Condition and covariates, plus non-naivete question
stargazer(morals_followup_av, type = &#39;html&#39;, title = &quot;Table OA.32: Robustness Check for Non-naivete on Morals Score, Mentalization Condition&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.32: Robustness Check for Non-naivete on Morals Score, Mentalization Condition</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
MoralScore
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-0.197<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.096)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
0.018<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.004)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
-0.178
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.319)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
-0.219<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.046)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
0.120
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.098)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
-0.239<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.103)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
-0.059
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.039)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
-0.295<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.041)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
0.145
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.207)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
-0.385<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.228)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
-0.148
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.181)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
1.098<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.336)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
followup2_1
</td>
<td>
-0.880<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.173)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
5.495<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.481)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
710
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.256
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.243
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.265 (df = 696)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
18.460<sup>***</sup> (df = 13; 696)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Mediation Effects - No significant mediation effects

### Mediation of effect of Condition on Morals Score by Emotions Score, Without Time Limit
med.fit.morals.av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond)
out.fit.morals.av &lt;- lm(MoralScore ~ EmotionScore + Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond)
med.out.morals.av &lt;- mediate(med.fit.morals.av, out.fit.morals.av, treat = &quot;Condition&quot;, mediator = &quot;EmotionScore&quot;, robustSE = T, sims = 1000)
summary(med.out.morals.av) # no significant mediation effects (ACME), yes significant negative direct effects (ADE)</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value  </code></pre>
<p>ACME -0.00119 -0.01525 0.01 0.83<br />
ADE -0.20407 -0.39897 -0.01 0.04 <em> Total Effect -0.20525 -0.40062 -0.02 0.04 </em> Prop. Mediated 0.00307 -0.10021 0.12 0.84<br />
— Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 710</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.morals.av, main = &quot;Figure OA.16: ACME of EmotionScore on MoralScore&quot;) # plot the mediation effects</code></pre>
<p><img src="data:image/png;base64,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" 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<pre class="r"><code>### Mediation of effect of Condition on Morals Score by Emotions Score, With Time Limit
med.fit.morals.dur.av &lt;- lm(EmotionScore ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond_duration)
out.fit.morals.dur.av &lt;- lm(MoralScore ~ EmotionScore + Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond_duration)
med.out.morals.dur.av &lt;- mediate(med.fit.morals.dur.av, out.fit.morals.dur.av, treat = &quot;Condition&quot;, mediator = &quot;EmotionScore&quot;, robustSE = T, sims = 1000)
summary(med.out.morals.dur.av) # no significant mediation effects (ACME), yes significant negative direct effects (ADE)</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value  </code></pre>
<p>ACME 0.00363 -0.00932 0.02 0.624<br />
ADE -0.22167 -0.44159 -0.01 0.040 <em> Total Effect -0.21804 -0.43716 -0.01 0.042 </em> Prop. Mediated -0.00823 -0.22127 0.07 0.638<br />
— Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 597</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.morals.dur.av, main = &quot;Figure OA.17: ACME of EmotionScore on MoralScore, Time-Limited&quot;)</code></pre>
<p><img 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" width="672" /></p>
</div>
<div id="effect-of-mentalization-on-probability-estimates" class="section level3">
<h3>Effect of Mentalization on Probability Estimates</h3>
<pre class="r"><code># Effect of Mentalization on 6 Probability Estimates 

percents1_m1_av &lt;- lm(percent1 ~ Condition, data = age_vegi_cond) # just Condition IV

percents1_m2_av &lt;- lm(percent1 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond) # Condition and covariates

percents2_m1_av &lt;- lm(percent2 ~ Condition, data = age_vegi_cond) # just Condition IV

percents2_m2_av &lt;- lm(percent2 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond) # Condition and covariates

percents3_m1_av &lt;- lm(percent3 ~ Condition, data = age_vegi_cond) # just Condition IV

percents3_m2_av &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond) # Condition and covariates

percents4_m1_av &lt;- lm(percent4 ~ Condition, data = age_vegi_cond) # just Condition IV

percents4_m2_av &lt;- lm(percent4 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond) # Condition and covariates

percents5_m1_av &lt;- lm(percent5 ~ Condition, data = age_vegi_cond) # just Condition IV

percents5_m2_av &lt;- lm(percent5 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond) # Condition and covariates

percents6_m1_av &lt;- lm(percent6 ~ Condition, data = age_vegi_cond) # just Condition IV

percents6_m2_av &lt;- lm(percent6 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore, data = age_vegi_cond) # Condition and covariates

## Coefficient Table Stargazer

stargazer(percents1_m1_av, percents1_m2_av, percents2_m1_av, percents2_m2_av, percents3_m1_av,  percents3_m2_av, percents4_m1_av, percents4_m2_av, align = T, dep.var.labels = c(&quot;Domestic Charge&quot;, &quot;International Charge&quot;, &quot;Domestic Apprehension&quot;, &quot;International Apprehension&quot;), type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.33: Effect of Mentalization on Charge and  Apprehension  Estimates&quot;, model.names = T, single.row = T) # no significant effects</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.33: Effect of Mentalization on Charge and Apprehension Estimates</strong>
</caption>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Domestic Charge
</td>
<td colspan="2">
International Charge
</td>
<td colspan="2">
Domestic Apprehension
</td>
<td colspan="2">
International Apprehension
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
<em>OLS</em>
</td>
<td colspan="2">
<em>OLS</em>
</td>
<td colspan="2">
<em>OLS</em>
</td>
<td colspan="2">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
53.65<sup>***</sup> (1.58)
</td>
<td>
41.53<sup>***</sup> (10.02)
</td>
<td>
58.69<sup>***</sup> (1.45)
</td>
<td>
34.87<sup>***</sup> (9.79)
</td>
<td>
53.92<sup>***</sup> (1.56)
</td>
<td>
38.47<sup>***</sup> (10.12)
</td>
<td>
58.05<sup>***</sup> (1.50)
</td>
<td>
45.78<sup>***</sup> (9.91)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-2.89 (2.23)
</td>
<td>
-1.33 (2.00)
</td>
<td>
-1.23 (2.05)
</td>
<td>
0.11 (1.96)
</td>
<td>
-1.43 (2.20)
</td>
<td>
-0.01 (2.02)
</td>
<td>
-3.07 (2.11)
</td>
<td>
-1.51 (1.98)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
-0.03 (0.08)
</td>
<td>
</td>
<td>
0.18<sup>**</sup> (0.08)
</td>
<td>
</td>
<td>
-0.05 (0.08)
</td>
<td>
</td>
<td>
-0.09 (0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
-1.84 (6.65)
</td>
<td>
</td>
<td>
3.30 (6.50)
</td>
<td>
</td>
<td>
1.67 (6.71)
</td>
<td>
</td>
<td>
2.90 (6.57)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
7.32<sup>***</sup> (0.97)
</td>
<td>
</td>
<td>
5.50<sup>***</sup> (0.95)
</td>
<td>
</td>
<td>
6.68<sup>***</sup> (0.98)
</td>
<td>
</td>
<td>
5.59<sup>***</sup> (0.96)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
-3.09 (2.05)
</td>
<td>
</td>
<td>
-1.77 (2.00)
</td>
<td>
</td>
<td>
-2.72 (2.07)
</td>
<td>
</td>
<td>
-0.75 (2.03)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
2.65 (2.16)
</td>
<td>
</td>
<td>
0.47 (2.11)
</td>
<td>
</td>
<td>
0.12 (2.18)
</td>
<td>
</td>
<td>
1.64 (2.13)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-0.92 (0.80)
</td>
<td>
</td>
<td>
1.10 (0.79)
</td>
<td>
</td>
<td>
-0.48 (0.81)
</td>
<td>
</td>
<td>
1.50<sup>*</sup> (0.80)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
2.29<sup>***</sup> (0.85)
</td>
<td>
</td>
<td>
1.16 (0.83)
</td>
<td>
</td>
<td>
2.66<sup>***</sup> (0.86)
</td>
<td>
</td>
<td>
1.02 (0.84)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
8.51<sup>**</sup> (4.31)
</td>
<td>
</td>
<td>
3.56 (4.21)
</td>
<td>
</td>
<td>
9.40<sup>**</sup> (4.35)
</td>
<td>
</td>
<td>
4.53 (4.26)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
6.03 (4.61)
</td>
<td>
</td>
<td>
7.48<sup>*</sup> (4.51)
</td>
<td>
</td>
<td>
5.68 (4.66)
</td>
<td>
</td>
<td>
7.40 (4.56)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
5.17 (3.78)
</td>
<td>
</td>
<td>
-0.25 (3.69)
</td>
<td>
</td>
<td>
3.66 (3.82)
</td>
<td>
</td>
<td>
4.33 (3.74)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
-33.43<sup>***</sup> (6.99)
</td>
<td>
</td>
<td>
-23.04<sup>***</sup> (6.83)
</td>
<td>
</td>
<td>
-29.21<sup>***</sup> (7.06)
</td>
<td>
</td>
<td>
-30.52<sup>***</sup> (6.91)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.002
</td>
<td>
0.22
</td>
<td>
0.001
</td>
<td>
0.12
</td>
<td>
0.001
</td>
<td>
0.18
</td>
<td>
0.003
</td>
<td>
0.15
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.21
</td>
<td>
-0.001
</td>
<td>
0.10
</td>
<td>
-0.001
</td>
<td>
0.17
</td>
<td>
0.002
</td>
<td>
0.14
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
29.65 (df = 708)
</td>
<td>
26.45 (df = 697)
</td>
<td>
27.31 (df = 708)
</td>
<td>
25.85 (df = 697)
</td>
<td>
29.29 (df = 708)
</td>
<td>
26.71 (df = 697)
</td>
<td>
28.11 (df = 708)
</td>
<td>
26.16 (df = 697)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
1.68 (df = 1; 708)
</td>
<td>
16.24<sup>***</sup> (df = 12; 697)
</td>
<td>
0.36 (df = 1; 708)
</td>
<td>
7.80<sup>***</sup> (df = 12; 697)
</td>
<td>
0.42 (df = 1; 708)
</td>
<td>
12.94<sup>***</sup> (df = 12; 697)
</td>
<td>
2.12 (df = 1; 708)
</td>
<td>
10.25<sup>***</sup> (df = 12; 697)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>stargazer(percents5_m1_av, percents5_m2_av, percents6_m1_av, percents6_m2_av, align = T, dep.var.labels = c(&quot;Domestic Conviction&quot;, &quot;International Conviction&quot;),type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.34: Effect of Mentalization on  Conviction Estimates&quot;, model.names = T, single.row = T) # no significant effects</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.34: Effect of Mentalization on Conviction Estimates</strong>
</caption>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="4">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="4" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Domestic Conviction
</td>
<td colspan="2">
International Conviction
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
<em>OLS</em>
</td>
<td colspan="2">
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
54.24<sup>***</sup> (1.53)
</td>
<td>
35.52<sup>***</sup> (9.71)
</td>
<td>
64.12<sup>***</sup> (1.36)
</td>
<td>
32.02<sup>***</sup> (9.32)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-2.70 (2.15)
</td>
<td>
-1.20 (1.94)
</td>
<td>
-2.44 (1.92)
</td>
<td>
-1.24 (1.86)
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
</td>
<td>
-0.06 (0.08)
</td>
<td>
</td>
<td>
0.11 (0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
</td>
<td>
-7.72 (6.44)
</td>
<td>
</td>
<td>
3.78 (6.18)
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
</td>
<td>
7.80<sup>***</sup> (0.94)
</td>
<td>
</td>
<td>
4.55<sup>***</sup> (0.90)
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
</td>
<td>
-1.66 (1.98)
</td>
<td>
</td>
<td>
-1.25 (1.90)
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
</td>
<td>
3.62<sup>*</sup> (2.09)
</td>
<td>
</td>
<td>
1.73 (2.01)
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
</td>
<td>
-0.20 (0.78)
</td>
<td>
</td>
<td>
2.12<sup>***</sup> (0.75)
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
</td>
<td>
2.05<sup>**</sup> (0.83)
</td>
<td>
</td>
<td>
0.93 (0.79)
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
</td>
<td>
14.31<sup>***</sup> (4.18)
</td>
<td>
</td>
<td>
4.48 (4.01)
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
</td>
<td>
0.46 (4.47)
</td>
<td>
</td>
<td>
3.89 (4.29)
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
</td>
<td>
3.25 (3.66)
</td>
<td>
</td>
<td>
2.70 (3.51)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
-18.96<sup>***</sup> (6.77)
</td>
<td>
</td>
<td>
-2.53 (6.50)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
<td>
710
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.002
</td>
<td>
0.22
</td>
<td>
0.002
</td>
<td>
0.09
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.20
</td>
<td>
0.001
</td>
<td>
0.08
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
28.69 (df = 708)
</td>
<td>
25.63 (df = 697)
</td>
<td>
25.58 (df = 708)
</td>
<td>
24.59 (df = 697)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
1.58 (df = 1; 708)
</td>
<td>
16.04<sup>***</sup> (df = 12; 697)
</td>
<td>
1.61 (df = 1; 708)
</td>
<td>
5.91<sup>***</sup> (df = 12; 697)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="4" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code># Robustness Checks

## Robustness Check of Duration - ATE and CACE when taking away answers that are really fast (&lt;=200s) or really slow (&gt;=1200s); 

### Duration ATE 

percents1_m1_dur_av &lt;- lm(percent1 ~ Condition, data = age_vegi_cond_duration) # just Condition IV

percents2_m1_dur_av &lt;- lm(percent2 ~ Condition, data = age_vegi_cond_duration) # just Condition IV

percents3_m1_dur_av &lt;- lm(percent3 ~ Condition, data = age_vegi_cond_duration) # just Condition IV

percents4_m1_dur_av &lt;- lm(percent4 ~ Condition, data = age_vegi_cond_duration) # just Condition IV

percents5_m1_dur_av &lt;- lm(percent5 ~ Condition, data = age_vegi_cond_duration) # just Condition IV

percents6_m1_dur_av &lt;- lm(percent6 ~ Condition, data = age_vegi_cond_duration) # just Condition IV

stargazer(percents1_m1_dur_av, percents2_m1_dur_av, percents3_m1_dur_av,  percents4_m1_dur_av, percents5_m1_dur_av, percents6_m1_dur_av, align = T, dep.var.labels = c(&quot;Domestic Charge&quot;, &quot;International Charge&quot;, &quot;Domestic Apprehension&quot;, &quot;International Apprehension&quot;, &quot;Domestic Conviction&quot;, &quot;International Conviction&quot;), type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.35: Effect of Mentalization on Charge, Apprehension and Conviction Estimates, Time-Limited&quot;, model.names = T, single.row = T) # no significant effects</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.35: Effect of Mentalization on Charge, Apprehension and Conviction Estimates, Time-Limited</strong>
</caption>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="6">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="6" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
Domestic Charge
</td>
<td>
International Charge
</td>
<td>
Domestic Apprehension
</td>
<td>
International Apprehension
</td>
<td>
Domestic Conviction
</td>
<td>
International Conviction
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
52.01<sup>***</sup> (1.76)
</td>
<td>
58.30<sup>***</sup> (1.61)
</td>
<td>
52.94<sup>***</sup> (1.74)
</td>
<td>
57.54<sup>***</sup> (1.68)
</td>
<td>
53.08<sup>***</sup> (1.70)
</td>
<td>
63.86<sup>***</sup> (1.53)
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-2.89 (2.48)
</td>
<td>
-0.88 (2.28)
</td>
<td>
-1.41 (2.46)
</td>
<td>
-3.44 (2.37)
</td>
<td>
-2.52 (2.40)
</td>
<td>
-2.04 (2.15)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.002
</td>
<td>
0.0003
</td>
<td>
0.001
</td>
<td>
0.004
</td>
<td>
0.002
</td>
<td>
0.002
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
-0.001
</td>
<td>
-0.001
</td>
<td>
0.002
</td>
<td>
0.0002
</td>
<td>
-0.0002
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error (df = 595)
</td>
<td>
30.32
</td>
<td>
27.82
</td>
<td>
30.03
</td>
<td>
28.96
</td>
<td>
29.33
</td>
<td>
26.30
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic (df = 1; 595)
</td>
<td>
1.35
</td>
<td>
0.15
</td>
<td>
0.33
</td>
<td>
2.11
</td>
<td>
1.10
</td>
<td>
0.90
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="6" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>### Duration CACE 

age_vegi_cond_duration &lt;- age_vegi_cond_duration %&gt;%
  mutate(followup_ittd = ifelse(Condition == 1 &amp; followup3_1 == 1, 1, 0))

cace_iv_percent1_dur_av &lt;- ivreg(percent1 ~ followup_ittd, ~Condition, data = age_vegi_cond_duration)

cace_iv_percent2_dur_av &lt;- ivreg(percent2 ~ followup_ittd, ~Condition, data = age_vegi_cond_duration)

cace_iv_percent3_dur_av &lt;- ivreg(percent3 ~ followup_ittd, ~Condition, data = age_vegi_cond_duration)

cace_iv_percent4_dur_av &lt;- ivreg(percent4 ~ followup_ittd, ~Condition, data = age_vegi_cond_duration)

cace_iv_percent5_dur_av &lt;- ivreg(percent5 ~ followup_ittd, ~Condition, data = age_vegi_cond_duration)

cace_iv_percent6_dur_av &lt;- ivreg(percent6 ~ followup_ittd, ~Condition, data = age_vegi_cond_duration)

stargazer(cace_iv_percent1_dur_av, cace_iv_percent2_dur_av, cace_iv_percent3_dur_av, cace_iv_percent4_dur_av, cace_iv_percent5_dur_av, cace_iv_percent6_dur_av, type = &#39;html&#39;, title = &quot;Table OA.36: CACE for Mentalization on Charge, Apprehension and Conviction Estimates, Time-Limited&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.36: CACE for Mentalization on Charge, Apprehension and Conviction Estimates, Time-Limited</strong>
</caption>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="6">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="6" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
percent1
</td>
<td>
percent2
</td>
<td>
percent3
</td>
<td>
percent4
</td>
<td>
percent5
</td>
<td>
percent6
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
followup_ittd
</td>
<td>
-3.370
</td>
<td>
-1.027
</td>
<td>
-1.641
</td>
<td>
-4.018
</td>
<td>
-2.943
</td>
<td>
-2.380
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(2.891)
</td>
<td>
(2.656)
</td>
<td>
(2.865)
</td>
<td>
(2.762)
</td>
<td>
(2.798)
</td>
<td>
(2.510)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
52.013<sup>***</sup>
</td>
<td>
58.300<sup>***</sup>
</td>
<td>
52.939<sup>***</sup>
</td>
<td>
57.539<sup>***</sup>
</td>
<td>
53.077<sup>***</sup>
</td>
<td>
63.862<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1.756)
</td>
<td>
(1.613)
</td>
<td>
(1.740)
</td>
<td>
(1.677)
</td>
<td>
(1.699)
</td>
<td>
(1.524)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
<td>
597
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.007
</td>
<td>
0.002
</td>
<td>
0.004
</td>
<td>
0.007
</td>
<td>
0.005
</td>
<td>
0.004
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.005
</td>
<td>
0.0004
</td>
<td>
0.002
</td>
<td>
0.006
</td>
<td>
0.004
</td>
<td>
0.002
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error (df = 595)
</td>
<td>
30.259
</td>
<td>
27.798
</td>
<td>
29.985
</td>
<td>
28.908
</td>
<td>
29.285
</td>
<td>
26.273
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="6" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Robustness Check for Non-naivete

percent3_followup_av &lt;- lm(percent3 ~ Condition + age + Nationality + NatID + Gender + Religion + Race + PolID + Combatant + CombExp + ConflZone + IHLScore + followup2_1, data = age_vegi_cond) # Condition and covariates, plus non-naivete question

stargazer(percent3_followup_av, type = &#39;html&#39;, title = &quot;Table OA.37: Robustness Check for Non-naivete on Domestic Apprehension&quot;) </code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.37: Robustness Check for Non-naivete on Domestic Apprehension</strong>
</caption>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="1" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
percent3
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Condition
</td>
<td>
-0.116
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(2.006)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
age
</td>
<td>
-0.068
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.083)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Nationality
</td>
<td>
3.011
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(6.674)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
6.683<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.971)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Gender
</td>
<td>
-2.313
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(2.056)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Religion
</td>
<td>
-0.117
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(2.164)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Race
</td>
<td>
-0.601
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.807)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
2.690<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.853)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Combatant
</td>
<td>
8.365<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(4.330)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
1.602
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(4.775)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
2.940
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(3.793)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
-26.945<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(7.038)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
followup2_1
</td>
<td>
12.379<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(3.632)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
35.570<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(10.078)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
710
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.196
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.181
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
26.507 (df = 696)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
13.019<sup>***</sup> (df = 13; 696)
</td>
</tr>
<tr>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>## Mediation Effects

### Single Mediation of Condition effect on percent3 by Emotions Score
med.fit.percent3.av &lt;- lm(EmotionScore ~ Condition, data = age_vegi_cond)
out.fit.percent3.av &lt;- lm(percent3 ~ EmotionScore + Condition, data = age_vegi_cond)
med.out.percent3.av &lt;- mediate(med.fit.percent3.av, out.fit.percent3.av, treat = &quot;Condition&quot;, mediator = &quot;EmotionScore&quot;, robustSE = T, sims = 1000)
summary(med.out.percent3.av) # no significant effects</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value</code></pre>
<p>ACME -0.01603 -0.40452 0.38 0.91 ADE -1.35731 -5.87959 2.91 0.54 Total Effect -1.37334 -5.96679 3.01 0.54 Prop. Mediated 0.00359 -0.77539 0.67 0.93</p>
<p>Sample Size Used: 710</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.percent3.av, main = &quot;Figure OA.18: ACME of EmotionScore on Percent3&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>### Single Mediation of Condition effect on percent3 by Morals Score
med.fit2.percent3.av &lt;- lm(MoralScore ~ Condition, data = age_vegi_cond)
out.fit2.percent3.av &lt;- lm(percent3 ~ MoralScore + Condition, data = age_vegi_cond)
med.out2.percent3.av &lt;- mediate(med.fit2.percent3.av, out.fit2.percent3.av, treat = &quot;Condition&quot;, mediator = &quot;MoralScore&quot;, robustSE = T, sims = 1000)
summary(med.out2.percent3.av) # no significant effects</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value</code></pre>
<p>ACME 0.521 -0.615 1.58 0.35 ADE -1.967 -6.084 1.78 0.35 Total Effect -1.446 -5.899 2.42 0.52 Prop. Mediated -0.100 -3.201 3.79 0.77</p>
<p>Sample Size Used: 710</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out2.percent3.av, main = &quot;Figure OA.19: ACME of MoralScore on Percent3&quot;)</code></pre>
<p><img src="data:image/png;base64,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" 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<div id="exploratory-analysis-of-mediation-of-association-of-moralscore-x-and-sanction-perceptions-y-by-ihlscore-m" class="section level2">
<h2>Exploratory Analysis of Mediation of Association of MoralScore (X) and Sanction Perceptions (Y) by IHLScore (M)</h2>
<pre class="r"><code># Mediation of Association of MoralScore (X) and Sanction Perceptions (Y) by IHLScore (M)

## ACME Method
med.fit.percent &lt;- lm(IHLScore ~ MoralScore, data = emotions_survey_text)
out.fit.percent &lt;- lm(percent3 ~ IHLScore + MoralScore, data = emotions_survey_text)
med.out.percent &lt;- mediate(med.fit.percent, out.fit.percent, treat = &quot;MoralScore&quot;, mediator = &quot;IHLScore&quot;, robustSE = T, sims = 1000)
summary(med.out.percent) # mediation effects (ACME) are significant </code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value    </code></pre>
<p>ACME -0.6025 -0.9642 -0.31 &lt;2e-16 <strong><em> ADE -4.3623 -5.5604 -3.21 &lt;2e-16 </em></strong> Total Effect -4.9648 -6.0756 -3.85 &lt;2e-16 <strong><em> Prop. Mediated 0.1210 0.0588 0.20 &lt;2e-16 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 1073</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.percent, main = &quot;Figure OA.20: ACME of IHLScore on Association of MoralScore and Percent3&quot;) # plot the mediation effects</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>med.boot.percent &lt;- mediate(med.fit.percent, out.fit.percent, boot = T, treat = &quot;MoralScore&quot;, mediator = &quot;IHLScore&quot;, sims = 1000) # bootstrap</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>summary(med.boot.percent) # significant mediation effects (ACME) with bootstrap</code></pre>
<p>Causal Mediation Analysis</p>
<p>Nonparametric Bootstrap Confidence Intervals with the Percentile Method</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value    </code></pre>
<p>ACME -0.6015 -0.9205 -0.32 &lt;2e-16 <strong><em> ADE -4.3449 -5.5499 -3.14 &lt;2e-16 </em></strong> Total Effect -4.9464 -6.1590 -3.82 &lt;2e-16 <strong><em> Prop. Mediated 0.1216 0.0613 0.20 &lt;2e-16 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 1073</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.boot.percent, main = &quot;Figure OA.21: ACME of IHLScore on Association of MoralScore and Percent3, Bootstrap&quot;) # plot the mediation efects</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>## Baron and Kenny (1986) Mediation Procedure
fit.percent &lt;- lm(percent3 ~ MoralScore, data = emotions_survey_text)
summary(fit.percent) # significant total effect</code></pre>
<p>Call: lm(formula = percent3 ~ MoralScore, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -65.700 -23.022 5.315 21.315 56.978</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 77.6463 2.8331 27.407 &lt;2e-16 <strong><em> MoralScore -4.9464 0.5818 -8.501 &lt;2e-16 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 28.15 on 1071 degrees of freedom Multiple R-squared: 0.06321, Adjusted R-squared: 0.06234 F-statistic: 72.27 on 1 and 1071 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>fita.percent &lt;- lm(IHLScore ~ MoralScore, data = emotions_survey_text)
summary(fita.percent) # path A is significant</code></pre>
<p>Call: lm(formula = IHLScore ~ MoralScore, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -0.53635 -0.09212 -0.04830 0.09048 0.46365</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 0.468637 0.015202 30.827 &lt; 2e-16 <strong><em> MoralScore 0.023900 0.003122 7.655 4.3e-14 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 0.151 on 1071 degrees of freedom Multiple R-squared: 0.05187, Adjusted R-squared: 0.05099 F-statistic: 58.6 on 1 and 1071 DF, p-value: 4.305e-14</p>
<pre class="r"><code>fitb.percent &lt;- lm(percent3 ~ IHLScore + MoralScore, data = emotions_survey_text)
summary(fitb.percent) # Significant mediation effects</code></pre>
<p>Call: lm(formula = percent3 ~ IHLScore + MoralScore, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -69.465 -22.202 4.729 20.247 66.141</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 89.4410 3.8582 23.182 &lt; 2e-16 <strong><em> IHLScore -25.1680 5.6450 -4.458 9.13e-06 </em></strong> MoralScore -4.3449 0.5924 -7.335 4.37e-13 *** — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 27.9 on 1070 degrees of freedom Multiple R-squared: 0.0803, Adjusted R-squared: 0.07858 F-statistic: 46.71 on 2 and 1070 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>fitc.percent &lt;- lm(MoralScore ~ percent3 + IHLScore, data = emotions_survey_text)
summary(fitc.percent) # violates assumption of Baron Kenny procedure</code></pre>
<p>Call: lm(formula = MoralScore ~ percent3 + IHLScore, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -4.0230 -1.0300 -0.0451 1.1084 3.1332</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 4.205532 0.200452 20.980 &lt; 2e-16 <strong><em> percent3 -0.011019 0.001502 -7.335 4.37e-13 </em></strong> IHLScore 1.789274 0.281639 6.353 3.12e-10 *** — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.405 on 1070 degrees of freedom Multiple R-squared: 0.09727, Adjusted R-squared: 0.09558 F-statistic: 57.64 on 2 and 1070 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>stargazer(fit.percent, fita.percent,  fitb.percent, fitc.percent, align = T, type = &#39;html&#39;, intercept.bottom = F, intercept.top = T, ci = F, digits = 2, title = &quot;Table OA.38: Mediation  Effect of IHLScore on Association of MoralScore and Percent3, Baron and Kenny Procedure&quot;, model.names = T, single.row = T)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.38: Mediation Effect of IHLScore on Association of MoralScore and Percent3, Baron and Kenny Procedure</strong>
</caption>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="4">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="4" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
percent3
</td>
<td>
IHLScore
</td>
<td>
percent3
</td>
<td>
MoralScore
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
<td>
<em>OLS</em>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
77.65<sup>***</sup> (2.83)
</td>
<td>
0.47<sup>***</sup> (0.02)
</td>
<td>
89.44<sup>***</sup> (3.86)
</td>
<td>
4.21<sup>***</sup> (0.20)
</td>
</tr>
<tr>
<td style="text-align:left">
percent3
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.01<sup>***</sup> (0.002)
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
-25.17<sup>***</sup> (5.64)
</td>
<td>
1.79<sup>***</sup> (0.28)
</td>
</tr>
<tr>
<td style="text-align:left">
MoralScore
</td>
<td>
-4.95<sup>***</sup> (0.58)
</td>
<td>
0.02<sup>***</sup> (0.003)
</td>
<td>
-4.34<sup>***</sup> (0.59)
</td>
<td>
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
1,073
</td>
<td>
1,073
</td>
<td>
1,073
</td>
<td>
1,073
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.06
</td>
<td>
0.05
</td>
<td>
0.08
</td>
<td>
0.10
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.06
</td>
<td>
0.05
</td>
<td>
0.08
</td>
<td>
0.10
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
28.15 (df = 1071)
</td>
<td>
0.15 (df = 1071)
</td>
<td>
27.90 (df = 1070)
</td>
<td>
1.41 (df = 1070)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
72.27<sup>***</sup> (df = 1; 1071)
</td>
<td>
58.60<sup>***</sup> (df = 1; 1071)
</td>
<td>
46.71<sup>***</sup> (df = 2; 1070)
</td>
<td>
57.64<sup>***</sup> (df = 2; 1070)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="4" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>sobel(emotions_survey_text$MoralScore, emotions_survey_text$IHLScore, emotions_survey_text$percent3) # sobel significance test of mediation effect</code></pre>
<p>$<code>Mod1: Y~X</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 77.646328 2.8331066 27.406779 9.786261e-126 pred -4.946371 0.5818469 -8.501156 6.228474e-17</p>
<p>$<code>Mod2: Y~X+M</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 89.440959 3.8582200 23.181923 1.169585e-96 pred -4.344858 0.5923545 -7.334895 4.374527e-13 med -25.167953 5.6449848 -4.458462 9.125251e-06</p>
<p>$<code>Mod3: M~X</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 0.46863691 0.015202367 30.826575 6.917066e-150 pred 0.02389995 0.003122174 7.654909 4.304663e-14</p>
<p>$Indirect.Effect [1] -0.6015129</p>
<p>$SE [1] 0.1561302</p>
<p>$z.value [1] -3.852637</p>
<p>$N [1] 1073</p>
<pre class="r"><code>mediation.test(emotions_survey_text$IHLScore, emotions_survey_text$MoralScore, emotions_survey_text$percent3) # effect of MoralScore on Percent3 is significantly mediated by IHLScore</code></pre>
<pre><code>            Sobel        Aroian       Goodman</code></pre>
<p>z.value -3.8526366432 -3.8283220349 -3.8774204993 p.value 0.0001168527 0.0001290199 0.0001055698</p>
</div>
<div id="bar-graph-of-percentages" class="section level2">
<h2>Bar Graph of Percentages</h2>
<pre class="r"><code>percents_data &lt;- data.frame(RiskType = c(&quot;Domestic Charge&quot;, &quot;International Charge&quot;, &quot;Domestic Apprehension&quot;, &quot;International Apprehension&quot;, &quot;Domestic Conviction&quot;,  &quot;International Conviction&quot;), Percent = c(round(mean(emotions_survey_text$percent1)), round(mean(emotions_survey_text$percent2)), round(mean(emotions_survey_text$percent3)), round(mean(emotions_survey_text$percent4)), round(mean(emotions_survey_text$percent5)), round(mean(emotions_survey_text$percent6)))) 
percents_data </code></pre>
<pre><code>                RiskType Percent</code></pre>
<p>1 Domestic Charge 53 2 International Charge 58 3 Domestic Apprehension 55 4 International Apprehension 57 5 Domestic Conviction 54 6 International Conviction 63</p>
<pre class="r"><code># Basic barplot

percents_barplot &lt;- 
    ggplot(data = percents_data, aes(x = RiskType, y = Percent, fill = RiskType)) + 
  geom_bar(stat = &quot;identity&quot;, width = 0.5, color = &quot;black&quot;, position = position_dodge()) + geom_text(aes(label = Percent), vjust = 1.6, color = &quot;white&quot;, size = 3.5) + theme_minimal() +
  theme(axis.text.x = element_blank()) + 
  ggtitle(&quot;Mean Sanction Risk Perceptions (All Subjects)&quot;)
percents_barplot</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
</div>
<div id="combatant-knowledge-of-ihl-by-type-of-combatant-and-experience" class="section level2">
<h2>Combatant Knowledge of IHL, By Type of Combatant and Experience</h2>
<pre class="r"><code>combatant_data  &lt;- data.frame(CombatType = c(&quot;Government Combatant&quot;, &quot;Other Combatant&quot;, &quot;Civilian&quot;, &quot;In Combat&quot;, &quot;Near Combat&quot;, &quot;Neither In/Near Combat&quot;), IHLScore = c(round(mean(emotions_survey_text$IHLScore[emotions_survey_text$combat1 == &quot;Yes, government soldier&quot;]), digits = 2), round(mean(emotions_survey_text$IHLScore[emotions_survey_text$combat1 == &quot;Yes, other combatant&quot;]), digits = 2), round(mean(emotions_survey_text$IHLScore[emotions_survey_text$combat1 == &quot;No&quot;]), digits = 2), round(mean(emotions_survey_text$IHLScore[emotions_survey_text$combat2 == &quot;Yes, in combat&quot;]), digits = 2), round(mean(emotions_survey_text$IHLScore[emotions_survey_text$combat2 == &quot;Yes, near combat&quot;]), digits = 2), round(mean(emotions_survey_text$IHLScore[emotions_survey_text$combat2 == &quot;No&quot;]), digits = 2)))
combatant_data </code></pre>
<pre><code>          CombatType IHLScore</code></pre>
<p>1 Government Combatant 0.56 2 Other Combatant 0.51 3 Civilian 0.59 4 In Combat 0.56 5 Near Combat 0.53 6 Neither In/Near Combat 0.59</p>
<pre class="r"><code># Basic barplot

combat_barplot &lt;- 
    ggplot(data = combatant_data, aes(x = CombatType, y = IHLScore, fill = CombatType)) + 
  geom_bar(stat = &quot;identity&quot;, width = 0.5, color = &quot;black&quot;, position = position_dodge()) + theme_minimal() + 
  geom_text(aes(label = IHLScore), vjust = 1.6, color = &quot;white&quot;, size = 3.5) + 
  theme(axis.text.x = element_blank()) + 
  ggtitle(&quot;Knowledge of IHL by Combat Status&quot;)
combat_barplot</code></pre>
<p><img 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0qsa+jQoeH1fqby8IJN9EIZkR9//HHcoykorKI2+Rnt1dXdd/s///zzTT1DYxWNh6rgsEqsAKJ38nXFqiOVy3yWp+YeURD3/fffd9X75fGOpeCt5j6JVzQGqi+HHnqof2l+eAW13WcIh1dGvNBM9AceeKBLOLv00ksj1vASgfQRyJgAqE/pjjcAs1+umfMSLZoZTrO9qzv9ddddl+hubIcAAggggAACCCCAAAIIIIBAygTuueeecNZi3759Te9LKpq/Qt2/VTSG5zXXXBPeXD0kfUBNgTYfZAtvsOHF9OnTXZdxvVUQtnv37tGbbLL3GpJOgdDoogDm888/7xafcsopbiZzvYnMklXQOFZR4PP0008Pr1q3bl34tX/he5eqPt8V3a+riGedj2a916REumYaA1TncOKJJ5Z6uH79+sXMlFVvVmW/quy///5FJo0655xzwuODXnHFFe54sQ6k/dXrVoHlatWqxdqEZQhUeoGMmQVeHwwqPtAZLe8H/fXbRa+P9V7jpehbFwVBIwdWjrVtssv0DZJS+dO1aFxUSnwBfYNW2jgs8ffOrDW+S0lmtSq1rdGXLdwvhaZ8tpR8b+nbfe6VQqN4EzGULBistfrDjvul8Jrz2VLyvc9ny0YfPls2WsR7lc6fLQok+bki4rWvsi7XDN1PPfWU/fOf/zQF6jS+pbL6NHP4XnvtZRrLUWNhqmek5sAYO3asa4q6ziuLc9dddy3SNAVQNc6k/j+0d+/e9uCDD7qgaPXq1U3Zfh988IF774OOAwcOLHEm9iKVV8Cbzz77zI455hh79NFHbdttt3XZnQrennzyyS7opyDvXXfdFT7yHnvsEZ69XsE7ZcCq67uCi2qfZkL/97//bd9++214H413Gl0aNGgQXqQAo3qFalKmnXbaKbw8lS80m/vBBx/shu57+umnXdW6Ponct2rLIYccYpo1fquttnL7jh492t0zCuBqTpPoiaE1rIHadfnll5sC3uo5q+P6HrRTpkxxPWIVdFdRvEVDA1IQSEeBjAiA6gNM35CoaMyKWKV27dpucaL/AzxixAjTh4XSw/UtSUUUnTclcwW4voXXFofS73F9IYJTodOm6l5U+lWpvFtwr3CvJHp36l7hfuF+SeZ+SXTbTN6O35nSr246/39Lul9fBfHUTVmBQE3u+/3335sy+OIV/W2sSX4UQIsuCqi++OKLLsipGb379OnjAoIaE1KBMJ/tqACqJhn2M5RH17Mp3mtczNatW7ugoJ4VAFXg1idaqJ0K2m299dbh09F2V111lSmpSUlQ6r6vwGWHDh3su+++c/trY2VWahIk7a8Z0TU5UmRSleYYUTd43fcaekAPBUGHDx8ePlaqX2gyJM1d4v+/+Mwzz0zoELvttpspKKwgqsZCVUDXf6mj8T2ffPLJYoFwVawguiaVfuKJJ9yzhhVU4FdDJmhsUF/kpDhJy5Yt/SKeEUgrgYzoAq8PZX3joxIvwOmXJ5KurW/OHnroIWvatKlV5PgW+iBN10da3eWb6WTT9dpWxHlvpkuQVoetCPd0rTOtLtxmONl0va6pPu/NQJ92h0y1eTrXl3YXbzOccDpf31Sf+2bgT7tDptp8U9aXdthRJ9yzZ09Tl24FJf0M3lGbWG5urvs7VtuVFCA97LDDXMbo8ccf74KAyhJUBqmCn/obu1evXjZq1CiXbRp9jE35Xn/rK+Cotui1unQr+Klszq5du9q4ceNchmf0OSkjVAFLH9BUMFDtURZz+/btXZBRk0Sp67yK2u8nH/J1KRlK2a8KKvqibvcVWRRg9T1QNXaprnkiRQlcZ599tusyP2nSpHDwU2N3qvt6ZHf/yPqUGfr444+7oRB23nlnd+0VPPXBTzmfeuqpLuCuiZooCKSrQEZkgApf305ofE99Exar+OX6x6Ckoi5AGl9EGaX9+/d3/3iUtH1Z1+kfeQVY07WoawQlvoD+EUnn6xu/Zcmv0TetlJIF9D9l3C+FRny2lHyv6H9AuVcKjfxEDiWLBXutustxvxTeA34Mt2DfEfFbz2fLRpu5c+dufMOrmAJ8tsRk2aQLNR7njTfeaDfccIMb6kR/Byt7UddGExwpaKa/NxMpygRVV3plxypgOmHCBJf9p0zQkmZ91/+/+gzFeMfR/9eVto3+boq3jQKPeviiDMZBgwa5DE4lOCnjsaS/71X3lVdeaRdddJFrmwKnaq+CfJH79ejRI+456NiaOV4PzbS+cuXKuIFnf57nnnuu6VHWos9knbuKHxM0kboUHNYwCTJSUFiBbE1yFJkZW1I96nr/888/uzYqyKvEMGV7Kps2Xk/bkupjHQKVTSAwAVB9y6MSOYZHrIuhb0r0rZe+8dKsedFFKfEq6iKgbfSsb84oCCCAAAIIIIAAAggggAACCGwqAZ9Uoy+7NOZleYr+tlXQU4/KXNSVW120kyn6EkxBTz3KU/y4muWpI5F91f1d84Xo+iqjM9miXq977713sruFt1dXdwWX9aAgkEkCGRMA1Tc5KhqkV4NARxctV2nXrl30qmLv9Y2Lis8aLbZBaIGfTCnWTHGxtmcZAggggAACCCCAAAIIIIAAAgggEE9A8QX1RFVRZqrG8qQggEBqBDImAKoPh/fff98N+quZ4CKL0vk//vhjt6hjx46Rq4q91gDLGh8jXjniiCPcwMjPP/98wqnk8epiOQIIIIAAAggggAACCCCAAAIIBFdg7Nix9uOPP7oxSIcNG2aa8V7l+uuvDy4KLUegAgQyJgCqrM9WrVq5gXqVMq7Z233R7HYa8HibbbYpli7/+eefuzEu9M2KZpOjIIAAAggggAACCCCAAAIIIIAAAptCQGO4aozRyKLh+Lp37x65iNcIIFBOgYwJgGp8jPPOO89uvvlm02xvX3zxhRu/ZPz48e61xgq55pprig0GrdneNZix9iUAWs67id0RQAABBBBAAAEEEEAAAQQQQCBhASVjacIoTeykCYvUo7Vfv34J7a/xX8s7tmlCB2IjBDJAIGMCoLoW+++/vw0YMMAFQEeNGmV6qCgz9PLLL7cOHTq49/xAAAEEEEAAAQQQQAABBBBAAAEENreAJhvSjO1z584tdYb56HO97rrrTA8KAgiULpBRAVA1t1OnTvbaa6+5Lu9KJdfkSPpWRLPaxSqvvvpqrMVxl7399ttx17ECAQQQQAABBBBAAAEEEEAAAQQQSEYgJycn6eBnMvWzLQIImGVcANRf1IYNG5oeFAQQQAABBBBAAAEEEEAAAQQQQAABBBAIrkDstMjgetByBBBAAAEEEEAAAQQQQAABBBBAAAEEEMggAQKgGXQxaQoCCCCAAAIIIIAAAggggAACCCCAAAIIFBUgAFrUg3cIIIAAAggggAACCCCAAAIIIIAAAgggkEECBEAz6GLSFAQQQAABBBBAAAEEEEAAAQQQQAABBBAoKkAAtKgH7xBAAAEEEEAAAQQQQAABBBBAAAEEEEAggwQIgGbQxaQpCCCAAAIIIIAAAggggAACCCCAAAIIIFBUgABoUQ/eIYAAAggggAACCCCAAAIIIIAAAggggEAGCRAAzaCLSVMQQAABBBBAAAEEEEAAAQQQQAABBBBAoKhATtG3vEMAAQQQQAABBBBAAAEEEEAAgcogMHHiRFu3bl1lOJWEz2Gbbbax3NzchLdnQwQQQGBTCBAA3RTKHAMBBBBAAAEEEEAAAQQQQACBJAV69uxpM2bMSHKvzbv5yJEjrUePHpv3JDg6AgggECVAF/goEN4igAACCCCAAAIIIIAAAggggAACCCCAQOYIkAGaOdeSliCAAAIIIIAAAggggAACCGSgQFaoTYdv3aLStmz84r9t2vLllfb8ODEEEECAACj3AAIIIIAAAggggAACCCCAAAKVWKB6drYNPXD/SnuGV3z1jT3x+8RKe36cGAIIIEAXeO4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhYAQKgGXtpaRgCCCCAAAIIIIAAAggggAACCCCAAAIIEADlHkAAAQQQQAABBBBAAAEEEEAAAQQQQACBjBUgAJqxl5aGIYAAAggggAACCCCAAAIIIIAAAggggAABUO4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhYAQKgGXtpaRgCCCCAAAIIIIAAAggggAACCCCAAAIIEADlHkAAAQQQQAABBBBAAAEEEEAAAQQQQACBjBUgAJqxl5aGIYAAAggggAACCCCAAAIIIIAAAggggAABUO4BBBBAAAEEEEAAAQQQQAABBBBAAAEEEMhYAQKgGXtpaRgCCCCAAAIIIIAAAggggAACmSOwbt06W716deY0iJYggMAmEyAAusmoORACCCCAAAIIIIAAAggggAACCCQjMGrUKDvllFOsRYsWVqNGDatVq5ZtvfXW1rt3b/vyyy9jVjV06FDbfffd7bbbbou5PpGFsep44oknXL33339/kSoOOOAAt3zu3LlFlvMGAQQqj0BO5TkVzgQBBBBAAAEEEEAAAQQQQAABBBAwW7p0qZ1zzjk2bNgwx5GVlWXNmze37Oxsmzlzps2aNcuGDx9u559/vg0aNMi03pd58+bZuHHjrEOHDn5R0s+x6pgzZ46rd9999y1S3/fff+/Od+3atUWW8wYBBCqPABmgledacCYIIIAAAggggAACCCCAAAIIBF5AgURlVSr42ahRIxs4cKAtX77cBT6nTZtmixcvtttvv90FQwcPHmxXX311EbNOnTrZJZdcYj169CiyPJk3ydShIKyOV6dOnWQOwbYIILAJBcgA3YTYHAoBBBBAAAEEEEAAAQQQQAABBEoWuPHGG01ZlcrqfOmll6xnz55Fdqhbt6717dvXGjdubH369LEBAwa4TNC2bdu67RQ81aM8JZk6+vfvX55DsS8CCGwCATJANwEyh0AAAQQQQAABBBBAAAEEEEAAgdIFlN358MMPuw2vvfbaYsHPyBqUedm+fXvLz8+3F154Ibxq4cKF9ssvv5i6rKusWbPGvf/111/D20S/0ORK2uf33393q6LriN4+8v2ECRPcvpqkKbqo3p9++slee+01e/LJJ01jmv7555/Rm7n3v/32W/j4BQUFpnqfffZZe/vtt8NtibkjCxFAoFQBAqClErEBAggggAACCCCAAAIIIIAAAghsCgF1e1cXeGV5qpt7aeWNN95wwcF+/fqFN33uuedcYFRZoirKJO3WrZvtvPPO9tVXX4W3i3yhQKOCqVdeeaVbHF1H5LbRr/fcc0+3b3Rg86mnnrImTZrYrrvuaieccIKdd9551r17dzehk7rMr1q1qkhVXbp0cZmrs2fPduOXtmvXzs4880w78sgj3T7KjM3LyyuyD28QQCAxAQKgiTmxFQIIIIAAAggggAACCCCAAAIIVLDAZ5995o6g4F9OTumj9qnb+1ZbbVXiWVWrVs3NJK+NXnzxxZjbKuCpctZZZ8Vcn+xCzUB/7rnnmo6tTNXnn3/eHnjgARcArVKlihvX9JFHHilWrcY67dq1q5tUSXVogqfjjz/elBF611132dNPP11sHxYggEDpAgRASzdiCwQQQAABBBBAAAEEEEAAAQQQ2AQCvtv6TjvtlNKjnX322a6+l19+2davX1+k7smTJ9vYsWOtYcOGdsQRRxRZV5Y36vauiZtUHn30UXvsscfs1FNPtcsvv9w++ugjFxDVushu+3qvogBo9erVTd3hb7rpJjfG6auvvmoXXXSRW6+sUgoCCCQvQAA0eTP2QAABBBBAAAEEEEAAAQQQQACBChDQ2JsqLVu2TGnt6oaumd0XLFhgH3zwQZG6fSDylFNOcRmbRVaW4c2KFStMXfKVsanszehy9NFHu0WLFi2KXuXeq6t7rVq1iqzr3bu3ez916tQiy3mDAAKJCZSeT55YPWyFAAIIIIAAAggggAACCCCAAAIIlEtAWZgqU6ZMKVc9sXZW93bNLq+A5z/+8Y/wJj4Amqru72rDBRdcEK5fLzS50x9//GHjx4+3d955x62LzkT1O+y4447+ZfjZB4Q1PioFAQSSFyAAmrwZeyCAAAIIIIAAAggggAACCCCAQAUI+PE8S5qxvayHVYbnVVddZcOHD3ddzWvXrm1ffPGFTZo0yTp27OgeZa07ej9NVvT666+buqxrFvi5c+eGNyltbFNvEN4h9EJjiapoLFAKAggkL0AX+OTN2AMBBBBAAAEEEEAAAQQQQAABBCpAYL/99nO1agzM/Pz8Uo/w5ptvumzOAQMGlLrtFltsYUcddZStXLnStJ+KJidS0WzrqSoKUp5++ul24oknuu72CniqK/wdd9xh7733nn366aclHkqTJFEQQCC1AvxWpdaT2hBAAAEEEEAAAQQQQAABBBBAoIwCmoQoKyvLBSlHjRpVai1Dhgyx//3vfzZmzJhSt9UG0ZMhvfLKKy67UtmhqSoKrg4dOtTq1atno0ePtpkzZ5omMtLYnr169bI///zTHSqRAG+qzol6EAi6AAHQoN8BtB8BBBBAAAEEEEAAAQQQQACBSiLQtGlTN2O6TueKK66wZcuWxT0zdWUfMWKEW3/++efH3S5yxUEHHWTNmzd3s7ErUKmJiA4//HBr1KhR5Gbleq2gp4rq3X///YvVpXFIVeKNAVpsBxYggEC5BQiAlpuQChBAAAEEEEAAAQQQQAABBBBAIFUC9957r8ue1NiZCiBq1vbVq1eHq1fmpMbWPO2009yYmMcdd5wdfPDB4fUlvcjOznbd09esWWOXX3652zRVkx/549atW9e9VFZqdJDz3XffNbVPJbJNbgE/EECgwgSYBKnCaKkYAQQQQAABBBBAAAEEEEAAAQSSFdAkQB9//LEdeuih9sMPP7hu4zVr1jSND6oApmZSnzVrlqt23333deN4qtt8okUBz7vvvttmz55tyjg95JBDEt01oe009ud9991nM2bMsD333NN69+5t1atXd93hP/roIzfZkoK7K1assCVLlrhgb0IVsxECCJRZgAzQMtOxIwIIIIAAAggggAACCCCAAAIIVIRA586d7bvvvrOrr77aNHnRqlWrXCaoxvtU8LNVq1YuC/STTz6xGjVqJHUKbdu2NQVOVZRFWtqs7ElVHtq4ffv2bgb4bbfd1rXh5ptvtmuvvda+/fZbFxj98ssvw8f3kzElewy2RwCB5ATIAE3Oi60RQAABBBBAAAEEEEAAAQQQQGATCGiszv79+7tsTU0c5LM+t99+excUjXcK6truu7fH26a0SZNi1XHLLbeYHtFFWZzR5bDDDnOZpdOnT7c5c+bYdtttZ8ps9WXkyJH+Zfi5pPFOFfDV7PIUBBAomwAB0LK5sRcCCCCAAAIIIIAAAggggAACCGwCAXV7b9GihXtsgsOl7BA679atW7tHyiqlIgQQKJMAXeDLxMZOCCCAAAIIIIAAAggggAACCCCAAAIIIJAOAgRA0+EqcY4IIIAAAggggAACCCCAAAIIIIAAAgggUCYBAqBlYmMnBBBAAAEEEEAAAQQQQAABBBBAAAEEEEgHAQKg6XCVOEcEEEAAAQQQQAABBBBAAAEEEEAAAQQQKJMAAdAysbETAggggAACCCCAAAIIIIAAAggggAACCKSDAAHQdLhKnCMCCCCAAAIIIIAAAggggAACCCCAAAIIlEmAAGiZ2NgJAQQQQAABBBBAAAEEEEAAAQQQQAABBNJBgABoOlwlzhEBBBBAAAEEEEAAAQQQQAABBBBAAAEEyiRAALRMbOyEAAIIIIAAAggggAACCCCAAAIIIIAAAukgkJMOJ8k5IoAAAggggAACCCCAAAIIIBBUgdV5ebbLG/9XaZu/cM3qSntunBgCCCAgAQKg3AcIIIAAAggggAACCCCAAAIIVHKBacuXV/Iz5PQQQACByitAALTyXhvODAEEEEAAAQQQQAABBBBAIMACOTk5pkc6laysrHQ6Xc4VAQQCIpBen6QBuSg0EwEEEEAAAQQQQAABBBBAAIGvv/7a8vPz0wqifv36aXW+nCwCCARDgABoMK4zrUQAAQQQQAABBBBAAAEEEEgzgc6dO9uMGTPS6qxHjhxpPXr0SKtz5mQRQCDzBZgFPvOvMS1EAAEEEEAAAQQQQAABBBBAAAEEEEAgsAJkgAb20tNwBBBAAAEEEEAAAQQQQACBdBDQsJo7bFt5x9ac+1eB/b00HSQ5RwQQCKoAAdCgXnnajQACCCCAAAIIIIAAAgggkBYCmgfp1n9X3j/fhwzLsw8+S6+xStPiwnOSCCCQMgG6wKeMkooQQAABBBBAAAEEEEAAAQQQQAABBBBAoLIJEACtbFeE80EAAQQQQAABBBBAAAEEEEAAAQQQQACBlAkQAE0ZJRUhgAACCCCAAAIIIIAAAggggAACCCCAQGUTIABa2a4I54MAAggggAACCCCAAAIIIIAAAggggAACKRMgAJoySipCAAEEEEAAAQQQQAABBBBAAAEEEEAAgcomQAC0sl0RzgcBBBBAAAEEEEAAAQQQQAABBBBAAAEEUiawSQOgK1assOXLl6fs5KkIAQQQQAABBBBAAAEEEEAAAQQQQAABBBAoSaBCA6ALFiywq666yrp162bNmjWz2rVr2y233OLOZ+rUqbbffvvZsGHDLD8/v6RzZB0CCCCAAAIIIIAAAggggAACCCCAAAIIIFAmgZwy7VXKTgUFBfbQQw9Zv3797O+//4659bRp0+yzzz5zj5NPPtmeeeYZq1q1asxtWYgAAggggAACCCCAAAIIIIAAAggggAACCJRFoEIyQB988EG7/PLLXfAzJyfHOnXqZG3atClyfuvXrw8HPIcOHWoXXHBBkfW8QQABBBBAAAEEEEAAAQQQQAABBCIFGFYvUoPXkQLLli2LfMtrBIoIpDwAOn78eLv++uvdQQ477DCbPHmyfffdd6bXkeWggw5y69QNXkUZoL///nvkJrxGAAEEEEAAAQQQQAABBBBAAIEACyhOoBjDTjvtZLm5uVanTh3bYost3FB7l1xyif3xxx8B1kn/pufl5ZmGSCxL+euvv+z++++33XbbzQ25WLduXfe866672j333FOp56Dp2rWr7b777rZw4cKyND2pfcpjnNSBSth44sSJJazdNKtSHgAdMGCArVmzxmV9vvbaa9ayZcu4Ldl6663t/fffdx9euiBPPfVU3G1ZgQACCCCAAAIIIIAAAggggAACwRDQXCEaVk+BTwWzfvvtNxdr2HbbbW316tX26aef2sCBA61z58725JNPBgMlw1r57bffuuv38ssvJ92yESNG2A477ODmnVHSncr2229vVapUsZ9++skFzbfbbjv78ccfk657U+zw/fff27hx42zt2rUVerjyGKfixBTr0xcY+j3d3CXlAdAffvjBtUkNrFmzZqnt0zY+O7QyRIRLPWE2QAABBBBAAAEEEEAAAQQQQACBChU455xz7NZbb3WTJmveEAVy1MV5ypQp7vmXX36x0047zVasWGHnnXeeDRo0qELPh8pTL/Dss8+6YGWyNb/66qt2xBFH2KJFi+yoo44yBRM1NIKyhZcuXermmlF25fz58+3ggw92vY+TPUambF9W41S1X/MC6QuMig70JnK+KQ2AKrKrDyEVpSAnWg455BC36YwZMxLdhe0QQAABBBBAAAEEEEAAAQQQQCADBd588003TF5WVpa9+OKL7qEYg0+yys7Odpmhzz33nN17771OoH///qaYBCWzBWbNmmXnn3++afLtbt262RtvvGEdO3Ys0mh1L//www9txx13dEFQBdIpCKR0Fnh9CNWuXdtF4ZcsWZKw7oIFC9y2zZo1S3gfNkQAAQQQQAABBBBAAAEEEEAAgcwTuPrqq12jlAWq7M+SiiZgfvjhh23atGmmwOlxxx1XbPN169a5TMNff/3VNFFzhw4dXPdpvfZFQ/lNmjTJFHRVt/tYRV3vNc+J9lP368iiTDf1iFXP1tatW7ugXMOGDSM3ca81buW8efOsefPmVqtWLfv4449dlmuPHj2sevXqbkzIuXPnmuIjDRo0cBmNX3/9tSlhTOetR7Vq1YrUq3EktY/qrF+/vikeM2bMGFu1apULEm655Zbh7dXOL7/80p1n27ZtTfOyqNt4rKJhCDTGqrqRayJrBRoVVFTsJ7poiALVIxcFJ5WN+dVXX7khDxW8joz3KFA9YcIEFztSPfJQMl2jRo2sSZMm0VUXea9rLWvZKjge79zlcPvtt9vxxx9vb7/9tttHyyJLIveF317tU7vVzV7t0730zTffuHtF7Ys00bUaPXq0C9jvueeepuEfSyq6r5ThLLP27ds7Z90L8Yq213XR9rrW6uqv67LVVluFd0nGeM6cOe566P6Xq+4L1RfvPkv03vzzzz9dxrZOSmY+YbJdu3Zxr1u4ARXwYuNve4oq12Czo0aNso8++siNA5pItRoHVEUXmoIAAggggAACCCCAAAIIIIAAAsEUULBPQUaVvn37lopQtWpVU5doTZCk4GB0+d///meXXXZZscmSFOBR9+AuXbq4XRT4VEahgokKECpwFV20fZ8+fdwwfu+8845brUDTXXfdZbfddpsLEvp9FBC78cYb7aabbnIBU7/8iSeesBtuuMF12Vd9OpZK48aNbebMmS7z9aqrrrLHHnvMVq5c6ca4VCDSFwUY1d7ItmpSae2julXHnXfeWSQb9uKLL7b//ve/9t5777mAoLqL+6L2qy06fmRRsOqUU04pNoam4jYKPEYeX/upHiXEKZCnXr4///xzuDrZaphEGclFxpHxn4ceesj0uPLKK+0///lPeL/oFwqivfTSS27xtdde6wK+0dtEvj/66KNdELZTp06m+ySyJHpf+H3Uvnr16rmxZ3v16uWC5X6dgoZjx451c+Ao4OrvDa2vUaOGPfjggy5r1W8f+azxSpXROn369PBiBYJlrO770UVz51xxxRUuMB65ToHgCy+80JQJrUzpRIyVTXvuuee6uXki69JrBVWHDBli+++/f3iVv88SvTcVgPZDUyjY7K+5hrLQvbKpS8oDoPqQUABUN3bv3r2tTZs2Jbbp6aefNt14Ksl0my+xUlYigAACCCCAAAIIIIAAAggggEDaCbz77rvunDXT+zbbbJPQ+e+zzz4xt/vkk09csFKBsxNPPNEOP/xwl2351ltvuWxR7aegYM+ePV22mwJ+yjBU8ClWAFRd7lXOOuus8PFOOOEE1w1bWZYK4Cm7TVmgqkdxEQUShw0bFt7ev3jggQfcdgoKKVNT8ZDIrD9N8KR9dd4KzM6ePduef/55l/Wn8S81Fmpk1qHqVfBQWXzHHnus7bvvvq5tap/qUgBK8Zd//OMfpgCeshQfffRRU8BZQVoFtXxRZqMCX8o0VF3HHHOMy9hTXT5o/PnnnxeL4Siwqu7n8lbbFVRVhqsmyFaQWBNYKeBWp04dFxR8/fXXXaaq5oU56KCDSp0oR1m+Ctqp7LLLLv504z7Lxwe4IzdK5r6I3E/ji8pVwTsFsZUJrKCzMh1lpOxVBX5vvfVW13Z1z1dy4KWXXurMW7VqFVmde61r2aJFC3e/KINXkzsp8HjooYfa8OHD3T3rd5LpLbfc4jJlFTTVuahHtQKuflIw/c4oGF6asbJoFcRevHixHXDAAS7YqqCn4nmqT19C6NrrPvFDT/jzSPTeVDBYbdMXAboW999/v6si8j73dW6K55QHQBWF14eFvnXQoLMa7FRR9+ii6LaiwbqwKrpwumEoCCCAAAIIIIAAAggggAACCCAQTAGfCRc9rmOyGsoyU6BSwTgFXpQ158vpp5/uZphXoEpZc+PHj3fBx7PPPtsFojQruQKUkV3kFRBSlp+y/RS0UlFAUEGupk2buu7vkd23zzjjDBcTUZDvgw8+KJbNpyCpsh7//e9/u7oUbIwsCqQpuKaAoS9qj1wUlBo5cqQLqvl1elaX6Pvuu88FwPT+kksucfsra3Dw4MGmeI1iNL5oZm4FqXxSmpbLS+ek8+nXr5/dfPPNfnM76aSTXOBRATZtoyBoZFEAVN2jNSmRuverKGNWGaiPPPKI6TzUHgXUFBRUsFZd9RU01fvSirpq+xJvmAK/Pt5zWe4LX5f2VWBe94GyNFU0AZe6uCtYrSC1usrrflD517/+5e4BDSGgwGJk4NxtEPrRsmVLl6Wq+0pFcTFl+epaKWtWAWtld+p6KPCoosC1rpsvGgbCG7/wwgvu+pdmrGuh4KcCybqXfDBdAX39Xug6argG9dhWcmNkSfTePPDAA12Q1QdAE7nGkcdJ9evYAz2U4ygaU0HfCOgCaSyCCy64wF18/22C0pX1LYAi3wLXL5d+MfRNRLyxG8pxOuyKAAIIIIAAAggggAACCCCAAAJpIqBsOhWNtRirKJikgI8e6truHwquKGjpi4KTyhhUV/dYgRdl8CkjUYFIjRGpoiH91F1aWXUKWkYWBZZUlCXqx0a8++673TIFjCKDn1qogJYfvzTyvNwOoR8ar1EBSl/UVTqyaBxRjYEaWbTMdz2fOnVq5Cr3WnUqOBlZfBdmdUNXICqy7LXXXu6tsio1xqeKsiPVLV/ZiNHba72CejpXBQF9930t90X7+OCnX+YDaLHO2W+TyLO6dasodqTzK0spy30ReRzdNz74qeXKcNR9pKLgrg9+6r0C6EoMVNG9GKvo3vHBT79e96sCkAo0fvbZZ27xihUrXEBambSRwU+/j088XLRokV9U4rMC6RoqQUF2H/z0O+he9lnVseory73p696czzkVcXBFefWLoG8E/C+EBtpV8R9m/rga6FdjUZTWVd5vzzMCCCCAAAIIIIAAAggggAACCGSmgMZZVFFgMlbRco2pGKuou7PP9FQmnoq6t0cHeLRcY0IqdqGgnN9Wy5WlpwxGBTyVfeeLD4BGZvFpIhwV1a/AYXTxk9Jowp/ooiw/BSXjlXjrlTGozMu1a9cW21VdmKOLJrRR0bmoW3Rk8UFbjTGqLvIK2Pk2KWlN2Zmxirrta6xPtcsHUf12CjhHF52zSqxzjt62pPc+UKjzVaawAnHJFn+tk70v/HHiGes+ihW098bRGb6+PnX9jy7qIq4hGDSpl85XQWy1XQmGkUUZnJoMSRnMftxRH8iO3C7Wa8Xi9PBFY9mqDcoiVhzPj8Mbq76y3Jv+OJvzuUICoGrQHnvs4b4R0FgX+mZAH1J6KONTN4V+CfVhc+SRR27O9nNsBBBAAAEEEEAAAQQQQAABBBCoJALKqFNRgE3xg+ggobptqwtwZFFAUEPxRRYf6FIgL17xmXuRwVZleCqLUuMvqku3xnv84osvXHdtZc35rvkaQ1FdhFXUDbqkoiEClRQWOfZhacE7HzyNrtdnn8omusRqq/fzgeXIfSJ74frtvIVMFbMpqagLe3SJdd4lnXP0/iW9j6xbgdrSDGPVVdb7wtdVVmPv6+vRszJpfYA0crle+5njI40VpNSQCupNrcmT5s6dG94tcriG8MJSXiiIrC8TNE6pAp+RAeqS6ou8DpGHSNV1jqwzla9THgBVVFuN1i+SLrBSc2Ol56ayEdSFAAIIIIAAAggggAACCCCAAALpL6Cut+oyriH1FIyLzqpT0Cs6E04xiOgAqJ/1W5mN8YomH1Lx2+q1xng86qij3MQ9ysA77bTT3ORDWnfmmWfqyZXIAKTG1fTBH7++tOfIYGisbSODk7HWx1oW3Y1e20SeZ6x9/DK/nX9W8NOPdeq3iX7WcAHRpSznHV1HvPcKWKvru8ba1JibmtSqtKJtNDGQJg3S8AH+Wid7X/jjlNXYu/p69KyAZrzig5EaZlJF+2vs2qFDh7r3+qJAsTYN26Bu9nXr1g13W3cblPJj3LhxdkBo8iMF+XXvahIu1SMjXXtlUv/f//1fzFoq8hrHPGCKFqY8AKoZqXRBTj31VDeTWPTYDyk6b6pBAAEEEEAAAQQQQAABBBBAAIEME1DAqkGDBm6Clscff9zNbF6WJvqu3/HGXlSdfsIlzeAeWTQZkmYu12RI//znP+2VV15xQSJlh/qic9RYkMoCPfjgg93YoX5dOj/7gLO6y2uc1cpUlGSnXsSDBg1ys6VroqCSirKINau6isYuVSnPfeEqSOEPBWHVjV33UnTx96YfLlLBeMXalMmrwKQf29Xvp8m4VDQ8QCJFQzko+Klxap988sliM7378VoTrS+RY27ubVI+CZLGxdAAuhpItbRvNDZ34zk+AggggAACCCCAAAIIIIAAAghUHgHFEa655hp3Qpq9/aabbirx5BSg0RiI0UXjVKooWOQzPSO3UYapn/08OpikcRmVaaiuwQo8aSIYBWYjJ79RXf4Y6pYcqyiw1K5dO9OM8OlSfJs+/fTTcBf/yHNfuXKlG59y7733djObR65L9rXPJCwpEzK6Ts01oyxOjU/63HPPRa8Ov1cGpbZV0TilypRU8e0ry33hKkjxD03KFF3mz59vo0ePdr2q/ZALeq+i+zD6ftVyjVurEj1mZyxj3c/+d6Zfv37Fgp+acElji8aqzy1M4oc/fmUIpKY0AKqbVrOlqey7774xBxpOwolNEUAAAQQQQAABBBBAAAEEEEAgYAIKgHbv3t21+o477rALL7zQTfzjJ1fWCgVxNE6numE/9NBDbtvIsQnVjV3rNBGzxvSMDLIp806zx6uOnXfe2U2U5CrY8EOTGqm7sY7nsyAjJz/y26oHrMp//vMfU8AwsiiDT92INVFQrHEjI7etTK+7devmukZrjFN1G48OHl933XX29ddfuxnK1W26PKVmzZpud5/tmEhdmmQp8prcdttt4Ql7/P5TpkwxzTyvsVt1jMhJs8pzX/j6U/msez0yS1n3pgK3CjQrO1MTDqmoi7uKAr/RQc53333X7r33Xrc+erKlWMbqqe3H+Bw1apTbz//Q/sqy9b9r0fX57RJ99r3Cdc4aumBzlpR2gdeHhCLR+pZEvxCK8Ppo7+ZsJMdGAAEEEEAAAQQQQAABBBBAAIH0EFAcQRl6l1xyiT399NOuy7O6PSs7VJl88+bNC3dfV4s0Q/btt98e7uasZapDkyWpe7qeNbP1IYcc4uIUChhpEhkF0xS/8ONCaj9fFPC8++67XdCmadOmbl+/zj9rDMU+ffrYY4895sZNPO6449wYit9995198MEHrouxZvP2Ga1+v8r+PHDgQFMgVN2q5a2AmIzefvttN/ambDURjw/KlbU9fkb1IUOG2DfffOOOo4BmaUXXRRm8gwcPNgWh9VBdmiBLwcQff/zRTeijc9bYsLoGvpT3vvD1pOJZY28qjqYMVQVsNSGS7vsffvjBZSCrnb6ceOKJdt9999mMGTNce7S9fh+UGap7WJmiuqeVvSkbP+lVPGPVJxt9OaA6lMSo/T/88EPTpF0aD1RDCJQ3aKlzbNasmc2ZM8d9IdGyZUt3H0V+WeHbWNHPVVJ9AH07o18Cfcty7rnn2tKlS1N9COpDAAEEEEAAAQQQQAABBBBAAIEMFsjNzTUFxhSQOeGEE9yM2cpKU7KVMgY1GY2CNFdffbWbLEkTIymYFFkUWFJX3169erngzl133WWasEiZn5rc6OOPP447C7fGilRQSEXb+oy5yPr1WoFZBZIU5Hn11Vetb9++LnCojNNLL73UdbNXW9KpKCtWkwwde+yxzlpDEchNy5RV+84777hrUt42nRmaVEoT+chWQUtdj0SKgpgKOg8bNizcHXzy5Mlu3FYFUpWMp7FbNeP70UcfXazK8twXxSorxwIFBz///HNTUFDBXAV/db9q8il1afczwesQ6rqvoRY0EZQC7DfffLNpDFQFKRUYVYDf368atsGXeMb6UsCPA6r7V78/GspSAVOdw4ABA1wVb731VsITafljRj9rqAL9fqjHuCZf0n20OUpWaCapglQeWOndulD6hkNjgWrGKo15oQ8PpX2XNDOaskf322+/VJ4OdVWQgMZEGTlypKt9wrG9rXlurQo6UnpV2+D5l2x96FdKMxPqA5hirtuBZnJU6dYlyy44OaWJ52lL/NbIPHv5ncIBqp955pm0GheoItEPPfRQ8+PgNHq8rWU3qVaRh0ubuucd/6vZ2gL3P0H61pdiLkugS5cujqLGAd2t3pVXwxISWPHm67Z8yJPOQv8Tqy+jKeYySpS1otLzij+sdqO2sIQE3ulXz9avWWrKwlBmBsVc1o2f1fiYJofZU+0Lu9UG3WbQjGfshol3OAYFe5TxRtk0Apq9Wv/2hxLZ7Pn7Qj8qaRkyLM8++Kzw/231d2KPHj1SfqYKfiobTXGGxo0bu9nhowOeJR1U+ysgVrt2bfMTy5S0fVnWLVy40H7//Xc3qY0CVbFmDC9LvZtzH3VdnjhxoqlLvNqkbNhUF43XqSQ6/XtUUswo3nGXLVvmshY1dqbGbtV5xgtYR9exKe6L6GPGeq/goCYeUqDTdxuPtZ0C6/oCQP9uK1iZaCZlPGNd10mTJjkvxe4UlK2oMnfuXJdJrIztzVFSHom48sorTenkvghT4y7oUVq59dZbCYCWhsR6BBBAAAEEEEAAAQQQQAABBAImoMCMEk30KEvR/n5CmbLsn8g+Cuz45I9Etk+HbRRIVGCsIouCngr2l7VoxvqddtrJPZKtY1PcF4mck4L6epRWFPQvy+9BPGMlLSqTelOUigieJ3PeKe8Cn8zB2RYBBBBAAAEEEEAAAQQQQAABBBBAAAEEEKhIgZRngL7wwgvh2aKSPXGlolMQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFUCaQ8ANqgQYNUnRv1IIAAAggggAACCCCAAAIIIIAAAggggAAC5RJIeQA03tksX77cTQqj8RW23HJLNyhwVlZWvM1ZjgACCCCAAAIIIIAAAggggAACCCCAAAIIlFugQscA1dT2vXv3drPWalBaDTiswXM1MLAGdz3vvPNs3Lhx5W4EFSCAAAIIIIAAAggggAACCCCAAAIIIIAAArEEKiQAun79erv22mutU6dONnz4cJs1a1axYy9cuNCefPJJ22uvvax///7F1rMAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAor0CFdIG/8847w0FNdXM/4IADbIcddrBtttnGVq5cadOnT7cffvjBfvrpJ/PB0qZNm9rpp59e3vawPwIIIIAAAggggAACCCCAAAIIIKUmuT0AAEAASURBVIAAAgggEBZIeQD0+++/NwVAVfbZZx8bOHCgywQNHzHixdtvv22XXnqpTZ061S666CI78sgjrX79+hFb8BIBBBBAAAEEEEAAAQQQQAABBBBAAAEEECi7QMq7wD/88MO2bt0623bbbW3EiBFxg5865SOOOMIUBK1Vq5ZpkqQXX3yx7C1hTwQQQAABBBBAAAEEEEAAAQQQQAABBBBAIEog5Rmg6taucssttySUzbnzzjvbOeecY//9739t1KhRLhM06hx5iwACCCCAAAIIIIAAAggggEBgBULTbFjfAaEflbQsWFhQSc+M00IAAQQKBVIaAM3Ly7Nff/3V1dylS5eEjf22GhuUggACCCCAAAIIIIAAAggggAACGwUKQvHFSdMJMm4U4RUCCCCQnEBKu8BXqVLFcnIKY6orVqxI+Ew0MZJKvXr1Et6HDRFAAAEEEEAAAQQQQAABBBBAAAEEEEAAgdIEUpoBqhnfd9xxR/v222/ts88+s913372047v1Y8aMcc+77LJLQtuzEQIIIIAAAggggAACCCCAAAKZLjB+/HjLz89Pq2bWrl07rc6Xk0UAgWAIpDQAKrI999zTBUBvvfVWN6t769atS5R8//33w5MfderUqcRtWYkAAggggAACCCCAAAIIIIBAUASUJDRjxoy0au7IkSOtR48eaXXOnCwCCGS+QEq7wIvrxhtvNH3js2TJEuvWrZsNGTLENDZodFm2bJnddtttdtxxx1lBaEATfbCfdNJJ0ZvxHgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQKLNAyjNAt9pqK7v77rvtkksusVmzZrkZ3q+66ipTJmirVq1s7dq1Nm3aNJs8ebL5sT+rVq1qzz77rFWrVq3MDWFHBBBAAAEEEEAAAQQQQAABBDJVILt55f17Of/v9VawIr266mfqfUK7EEAgtkDKA6A6zMUXX2w77LCDnX322S4IunjxYhs3bpx7RJ9Gx44dbeDAgUb392gZ3iOAAAIIIIAAAggggAACCCAQEqiWZY0ebVtpKZYO/tNWvbuo0p4fJ4YAAghUSABUrAcddJD9/PPPNmjQIPf822+/2YQJE0zZnm3btnWP7t2721lnnWXZ2dlcCQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIOUCFRYA1ZnWq1fPrrvuuvBJa6xPzRRPQQABBBBAAAEEEEAAAQQQQAABBBBAAAEENoVAyidBij7p1atXhxdFBj+/+uqr8Big4Q14gQACCCCAAAIIIIAAAggggAACCCCAAAIIpFCgwgKgY8aMsSOOOMI6d+4c83RPPfVUa9SokZ1yyim2aBFjhcREYiECCCCAAAIIIIAAAggggAACCCCAAAIIlEugQgKgQ4YMsR49etg777xjf/zxh5v5PfIs8/Pzbfr06bZq1SobOnSo7bbbbvbLL79EbsJrBBBAAAEEEEAAAQQQQAABBBBAAAEEEECg3AIpD4BOnDjRzj//fFu3bp07uV69ehULgGrFm2++af/617+sSpUqNm3aNDvjjDNMgVEKAggggAACCCCAAAIIIIAAAggggAACCCCQKoGUB0DvuOMOW79+vTVp0sQ++ugjGzFihNWuXbvI+Sroedhhh9ngwYNt5MiRlpOTY+PGjbMXX3yxyHa8QQABBBBAAAEEEEAAAQQQQAABBBBAAAEEyiOQ8gDo2LFj3fmcddZZ1r1791LP7cADD7Rzzz3XbTd69OhSt2cDBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgUYGUBkDz8vJcd3Yd/KSTTkr0HGy//fZz2/72228J78OGCCCAAAIIIIAAAggggAACCCCAAAIIIIBAaQIpDYBmZWW5MT11UHWDT7SsXr3abVqjRo1Ed2E7BBBAAAEEEEAAAQQQQAABBBBAIOUCmtPExylSXjkVIoDAZhFIaQBUY3u2bNnSNeTTTz9NuEGff/6527ZDhw4J78OGCCCAAAIIIIAAAggggAACCCCQeQKnnHKK7b777jZs2LBN1rhRo0aZjtuiRQtTclatWrVs6623tt69e9uXX365yc4j2QN17drVWS1cuDDZXcu0vSa+piCQjgIpDYAK4KijjnIOt9xyi/3xxx+lmmgSpGeeecZtt9tuu5W6PRsggAACCCCAAAIIIIAAAggggEDmCvz6669uouQFCxZUeCOXLl1qxx9/vJvDZOjQoTZnzhxr1qyZS+7S6+HDh9vee+9tffr0sYKCggo/n2QP8P333zurtWvXJrtrUttryMPrr7/eOnfunNR+bIxAZRFIeQBUHwr6tmTZsmW21157mWaFnz9/fpH26kNj2rRpdtlll9mRRx5p+fn57huLZMYNLVIhbxBAAAEEEEAAAQQQQAABBBBAAIEkBBQ0POCAA1ymaaNGjWzgwIG2fPlymzlzpotZLF682G6//XbLzs62wYMH29VXX51E7Zm16d9//2333HOPVXSgNbPUaE1lEshJ9cm0adPGHn30UTv77LNNHxY33XSTe+Tm5rr0cf2yzJ4929asWRM+dM2aNe3555+3nJyUn074GJXthYLAK1asqGynlfD5JDPGa8KVZtCGCurrH06K2cqVK2EoRUDjC3G/FCLx2VLyzcJny0YfPls2WsR7xWfLRhk+WzZaxHrFZ8tGFT5bNlrEe5XOny36e5N5J+Jd2WAuv/HGG00ZlJrP5KWXXrKePXsWgahbt6717dvXGjdu7DJABwwYYOeff761bdu2yHa8QQCByi9QIRHHs846y7bYYgu76KKLXLBTDAr2TZgwoZjI4Ycfbvfff79tv/32xdZl+oJ0Dngo/Z0SX4A/JDbarFq1auMbXsUUSOc/JGI2qBwL+WwpGU9fnqXzvx0lty65tQQpSvfSl83cL4VOBEBLvl/4bNnow2fLRot4r9L5s0XBTwKg8a5seiz/7bff3MTLO+ywg+uO/vvvv9tXX33l4g8aUk9d1xMtSth6+OGH3ebXXnttseBnZD0Keio79Oeff7YXXnjB+vXrF7navVZ3+Z9++slmzJhhSgzTHCfKKo0uGqtz7ty51rx5c6tfv74tWbLExowZY/q7qVu3brbllluGd9Hvm8Yf1bibCrrut99+4YmnwxtFvNDfFd9++63JpX379taxY0erXr16xBbFX+q8FauZNGmSNWzY0B1nxx13tGrVqoU3/vPPP23KlCnuvf7N+OWXX9zrdu3alXg+4Qp4gUAlEKiQAKjapbFAe/XqZRrjc8SIEe6XZd68/2fvTuCtnPY/jv8alNJEKCHKnKGkfxm6pkJdlxBluLiGa/ojKplKFIpSxmQmws3UvyINSknckJIQKkKjSpo0/32X1u45+zx7n3322eecfc7zWa/XOWfvZ37ez+7It99aa5EbSFi/DPSlP7wnnHBCFjAU/SXoX5hq165d9CfO0Bnz+iWaodOU2MPoX5dL8vPNJLz+I0pLLqC/+PB5+cuI3y3JPyvqfsVn5S+jsP+hSK4XvbXVq1fn87L1sRN4JP/887tlm49CCVpyAX63JPdhbeEKNG3a1KpUqeJCvlatWrlA0p9R/4+tMSp79Ojhuqz75Yl+aoIl9VBVlae6uefV3nzzTXfu3XbbLcemvufrwIEDLfiP+frd2qlTJ3c9wb/jag6Uzp0721NPPeW62t9zzz059rv22mvtkUcesXfffdeNTRr8x0zd/4gRI1xFao6L+PONwlcFtT/++GNslf6+NHjwYDv55JNjy/yLn3/+2S6//HIbNWqUXxT7uc8++9izzz5rxx57rFsmn8cff9y93rBhgwtX9UZDH+p50BAoCQKFFoDq5vWXTVV46ouGAAIIIIAAAggggAACCCCAAAIIFERAgaBmPlclosJOdU8fN26cvfbaa3bvvfdavXr1XLCX1zkmTZrkNlEVYyrD8YV1e9c1nH322e78qj69/vrrTdWpmsTpwQcftPvvv9+mTJni1iugDba+ffu6qsu2bdta8+bNXeCp0FOVpgoZn3vuOfv73//uCstUVaqhBnUsDTOosDW+nXbaaW4Ge1W1qrpUhWgKMVu3bu0mcgrmMhrPUxWqCm81BqoCUoWe48ePdwHr7NmzTdel82rIQk0Stccee5iGDFCwq168asFgN/56eI9AtgkUagCabTfL9SCAAAIIIIAAAggggAACCCCAQMkVUACqsFFjd1auXNndiCZjVuXkY489Zs8880xKAai6fqs1aNDA/Uznm8JKha8KDydPnhzrvn7GGWfYxRdfbM2aNbP333/fVPWpoQKDTd3U+/Tp46pBtfy6665z163r14RL6pavSYd80+zrCiJHjhzpF+X4WbduXTccgO+Bd9ZZZ7kwVsdRZazC1LJl/5oHW+dQ+HnooYe6XrsKNdXatWtnd955p/P99ddfXXWo7kU9dxWY+gC0Q4cOOc7NGwRKgkDGZ4FP5ab1ryQ0BBBAAAEEEEAAAQQQQAABBBBAIL8CCuJ8+On3VVCnNnfuXL8o6U+Nxamm4DDd5isxVYkaHLtTx1MVpsJENV8x6d5s/aau9OoKH2y+y7mqRXWPwXbkkUe6t+q6Hja2tc7lw0+/n4JKhcUau9RXvGqdxgZV13t1w/fhp9+nVq1advTRR7u3y5Yt84v5iUCJF8hYAPr777/bhAkTQic6kpJKp6+55hr3y0Xl5fpl8M9//tONU1HiFbkBBBBAAAEEEEAAAQQQQAABBBAoEgFN0hPffJCpcT1TaT4s9JP7pLJPcBuFkJqcSE3zn4Q1v1zbBccH1baqGo1vvpu9wtGqVavmWK1gUk0T7qqLfHw76aST4he5LuqqQlXTBFK+tWjRwm677TZXoaplujZNgqRu8+piry7wamFBq1vBNwRKoECBA1DNlKiBffWvCho7QgMJx7epU6eaZmTToLk//fST+wOrcnMNxqvlKr+mIYAAAggggAACCCCAAAIIIIAAAnkJxE9EpO39rOWp9jj1x9B4nek0hYQKIjUJkA9T44+jwq/tttvOTbYUnJxI2+29997xm5sfJ1STjcU3331dy/12fhvNv+IDUr/M/9xzzz3dSwWcwabrufHGG13XdlXTKnzVOKF33323LVmyJLgprxEoFQIFCkBXrFhhLVu2tH79+tnq1asdiC8j9zparlJ0jR+hpvJqzf7u/7DrXxQ085hmMqMhgAACCCCAAAIIIIAAAggggAACyQSCYWCy7ZKtUy6hpspIVVXm1d566y03jmb//v3dpgo21ZRpJApdtc5XUfrt3U5/flNoGd8SHSev7eKrS4Pb+4rYGjVqxBZ/9tlnbiZ3TdSksUhVmKYxSNUlXkGpxgulIVDaBAoUgN5yyy320UcfORPNvKbxJc4777wcRhrUV1WfavoXhV9++cUmTpzoxuVQ6OnHm9CAxevWrcuxL28QQAABBBBAAAEEEEAAAQQQQACBTAto1nRVUqpXq2Y/z6tpRnVNQPTBBx+4Tffaay9X3fnHH3/YokWLQnfXUIA+1FRmUlhNlaia1Cis+crTfffdN7ZaEzJpMqnzzz/fNCO8JnDS7PEqTlPXfD+OairBcOygvEAgywXSDkA18O6TTz7pbk8D6GoGNv3rQdOmTWO3rD/ozz33nHuvXyzq6h4syz711FOta9eubr3+UI4ZMya2Ly8QQAABBBBAAAEEEEAAAQQQQACBwhCoXbu2m5dEx+7YsaOtXLky4Wn+7//+z42PqQ2uvPJKt52KuQ466CD3+tVXX3U/47/55cpJwio+47cvyPt333031+6LFy92c7Uoj1Fuo6aJjWbMmOFe33XXXVapUiX32n9TL95vv/3WvfXVq3rjq24JRb0UP0uaQNoBqEqm/QdfY3tqbIv49sknn7jJj7Rcg//6EvPgdl26dIn9QRo2bFhwFa8RQAABBBBAAAEEEEAAAQQQQACBQhG47777TONtfvHFF6YZ2EePHm2q6PRNmYcKuS688EJXyXn22WfbySef7FfHZnm/9957c03w/Omnn1rfvn3dttdff31sn8J6oWzlhx9+iB1eVaE6rypcVel5wAEHuHUa71MTU6vFV77q3k8//fRY79yghfZTUyiqnr00BEqawF+f+jSuWr8g1A4++GA78sgjQ48wbty42HL9IQpr+kNUr149N8uYn2ksbDuWIYAAAggggAACCCCAAAIIIIAAApkS0ERIyi1at25t06ZNc4VbqohU8ZYqPFUpqd6vas2bN7cXX3wxxwREZ555pp1zzjn22muvuVykffv2tv/++7txRf/zn/+4yY/UU/aCCy7I1CWHHkcTQOl6lc1oDhb1vFWBme5JxWq9evWK7adKVF2nJqXu3LmzqxDVvSnjUa9cDWHYpEkTU4AbDDorVqzoJr/WhNaHH3641a1b14YPH25+MqnYCXiBQJYKpB2ATp8+3d1S/fr1E97a+++/H1vXokWL2Ov4Fw0aNHABaKJxM+K35z0CCCCAAAIIIIAAAggggAACCCBQUIHGjRvb1KlT7aGHHnLVnuoirkpQ3zSBc7du3eziiy+OzWHi1+nnkCFDbODAgXbHHXfY888/71YpkFS3d421eemll7plhflN4eSHH35oCmSfeOIJdyoFohrnVBWs8eOPDhgwwHSNL7zwggtCFYaqKlS5zTvvvOPGNFUIPHToUDfptZ91ftCgQXbRRReZQlDNFD9z5kwC0MJ8sBw7owJpB6C+WrNmzZqhF6SZxiZNmuTW1alTx/0rSOiGfy7UoLtqhT0mhjsJ3xBAAAEEEEAAAQQQQAABBBBAIGsFNMdIWEs2TqeCSj/hUNi+yZapSvL+++93lZILFiyIVX2qmnOnnXZKtqtbd9VVV5m+tK/mNznssMPMdxmP37lTp06mr7B21FFHJbwHBZph96cu7r5NmTLFBZOaxOiQQw5JeA3VqlUzTerUr18/N+u7wk+NZ6ogVU0TWIedSwGpqkIXLlzoJoBKlAf56+EnAtkkkHYAqj8QKqdOVLWpf33Q4LlqLVu2THjP+kOl46jF/6tEwp1YgQACCCCAAAIIIIAAAggggAACCGRQQCHjHnvs4b7SOay6gxd3l3DlKqlmKzVq1HDd3fN7r5pAioZASRNIexKkhg0bunv9/vvvQ+951KhRseXBQYJjC7e+UCWp/1ecvfbaK3417xFAAAEEEEAAAQQQQAABBBBAAAEEEEAAgbQF0g5AGzVq5E763Xff2XvvvZfjAtauXevGktBCjSvRqlWrHOuDbzQgsG+aKZ6GAAIIIIAAAggggAACCCCAAAIIIIAAAghkSiDtAFSzi1WpUsVdx2WXXWZ+UqSNGzdax44d3ZgQWqlBeBONC/Hyyy/bY4895o5RvXr1pF3l3UZ8QwABBBBAAAEEEEAAAQQQQAABBBBAAAEE8iGQdgCqUFMzoalpkF9VhGpGeC3XDGhqdevWtf79+7vX/tumTZtcxeiVV15pl19+uV9sPXv2tKpVq8be8wIBBBBAAAEEEEAAAQQQQAABBBBAAAEEECioQNqTIOnEN910k6v09CGnZhrzTYPpvvPOO7kGAFbFZ4cOHfxm7ue5555r11xzTY5lvEEAAQQQQAABBBBAAAEEEEAAAQQQQAABBAoqUKAAtEyZMtavXz9r27atDRgwwGbOnGmaDUxjfp5xxhm2995757q+4Gxkqvjs3LmzqyTVsWgIIIAAAggggAACCCCAAAIIIIAAAggggEAmBQoUgPoLOeaYY0xfqbSDDz7YVYDq5znnnGOqFKUhgAACCCCAAAIIIIAAAggggAACCCCAAAKFIZCRADQ/F3bYYYdZcOb3/OzLtggggAACCCCAAAIIIIAAAggggAACCCCAQH4EijwADbu49957z7Zs2eImUdJESjQEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCATAlkRgLZu3do2bNhgd955p3Xv3j0T98UxEEAAAQQQQAABBBBAAAEEECgdAhu22PKeP2btvWz8cV3WXhsXhgACCEggKwJQHgUCCCCAAAIIIIAAAggggAACCCQQ2GK2/tNVCVayGAEEEEAgL4GyeW3AegQQQAABBBBAAAEEEEAAAQQQQAABBBBAoKQKUAFaUp8c140AAggggAACCCCAAAIIIFCqBSZOnOiGiytJN7n77ruXpMvlWhFAICICBKARedDcJgIIIIAAAggggAACCCCAQMkSaNOmjf38888l6qLffPNNO/bYY0vUNXOxCCBQ+gUIQEv/M+YOEUAAAQQQQAABBBBAAAEESqDA8uXLbenSpSXqyjXBMQ0BBBDINgEC0Gx7IlwPAggggAACCCCAAAIIIIAAAnECZapVi1uSPW+3rF1rf/bVz54L4koQQACBOAEC0DgQ3iKAAAIIIIAAAggggAACCCCQVQIVKtiug/+TVZcUvJjfBz5ma98eEVzEawQQQCCrBJgFPqseBxeDAAIIIIAAAggggAACCCCAAAIIIIAAApkUIADNpCbHQgABBBBAAAEEEEAAAQQQQAABBBBAAIGsEki7C3yfPn2sd+/eGbkZBknOCCMHQQABBBBAAAEEEEAAAQQQQAABBBBAAIE4gbQD0DVr1tiyZcviDsdbBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgewTSDkBr1qxp+++/f0bvRMekIYAAAggggAACCCCAAAIIIIAAAggggAACmRJIOwC99tprTV80BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgWwWYBClbnwzXhQACCCCAAAIIIIAAAggggAACCCCAAAIFFiAALTAhB0AAAQQQQAABBBBAAAEEEEAAAQQQQACBbBUgAM3WJ8N1IYAAAggggAACCCCAAAIIIIAAAggggECBBdIeA3TgwIE2YMCAAl9A8ABXX3216YuGAAIIIIAAAggggAACCCCAAAIIIIAAAghkQiDtAHTRokU2Y8aMTFxD7BiLFy+OveYFAggggAACCCCAAAIIIIAAAgggEDWBlStXWtWqVaN229wvAoUqkHYX+AoVKljlypWTfpUpU8ZdfPny5ZNu54+z3XbbFerNcnAEEEAAAQQQQAABBBBAAAEEEMhegZkzZ1qTJk3c19ixY5NeqIqo/LYbN25Mum02r/z111/tgQcesCOOOMKqVKli1apVcz8bNmxovXv3tlWrVmXl5Q8aNMj533vvvUVyfd99912RnIeTlE6BtCtAb731VtNXslavXj374Ycf7JJLLrEnn3wy2aasQwABBBBAAAEEEEAAAQQQQACBiAusXr3aPvvsM6dw2WWXuZ6nCgTD2oYNG2LbbtmyJWyTrF/29ttv20UXXWTLli1z17rDDjvY/vvvbwsWLLAvvvjCffXv399Gjx5tCkSzqS1cuND5K7gtzLZp0ybr2rWrPfroo6bqWBoC6QikXQGazsnYBwEEEEAAAQQQQAABBBBAAAEEEEhFYN68eda5c+dUNi2R2wwZMsROO+00F362adPGPv/8c1ftOWvWLPv9999t0qRJrsJSla4nn3yyzZ49u0TeZ0Ev+rfffnOVsOvXry/oodg/wgIEoBF++Nw6AggggAACCCCAAAIIIIAAAtkoULbsX3HFU0895aofs/EaC3JNP//8s1155ZWmytXjjjvO3nzzTWvUqFGOQx5zzDE2ZswYO/DAA00h6J133pljPW8QQCB1gbS7wKd+CrZEAAEEEEAAAQQQQAABBBBAAAEEUhfYaaedTFWRzzzzjF1++eX25ZdfurExUz/CX1uqenDatGmm8SPr16/vQsaaNWsmPcz8+fPtm2++se+//9607X777edCSM2FEmwau1MTRO++++5u3pNx48bZ5s2brUWLFlaxYsXgprleP/zww6Zr0/EHDx5sPvCN37BGjRrWs2dPO+ecc2z48OFuHy0LNg0FoO7yX331lWkOlsMOO8wOOOAA9zq4nV5//fXXVq5cOdfNXuGr9vnkk0+sQYMGbgxSrfNNFbgTJkywSpUqWbNmzWzPPff0q0J//vjjj/bRRx+ZnJo2bWp77LFH6HZ+YSrOGgpgzpw5bhddr8aIVTvooIMSmrkN+IZAnAABaBwIbxFAAAEEEEAAAQQQQAABBBBAoPgF+vXr56o/f/rpJ+vYsaM9/fTTKV+Uxo3U5Dw9evSw4ARJCvhuv/1269atW66AUFWZCltHjRqV6zz77LOPPfvss3bsscfG1qk69bbbbrPHH3/cXnjhBfv444/dul122cV0zYlCUAV5r7zyitv25ptvdgFq7KAhL84880z773//a4cffrjFTx49cuRIu+GGG+zbb7/NsaeqRnVNCiKDTe+rV69uEydOtFNOOcWFvH69wtjJkydb3bp1XeA6YsQIv8q23357e/DBB13Vamzh1hcKfTVUgSZyCrbzzjvPZKRxTYMtP84Kf+WrpqD3kEMOca81FqgmjKIhkKoAAWiqUmyHAAIIIIAAAggggAACCCCAAAJFJqDJjxSgtWrVylWCnn322e51KhfQrl0716181113tU6dOrmKQVWBqvJSoagqCV9//fXYoVSNqcrJ5cuX2/HHH+/G3FToOX78eFMQqPE327Zta6qKVEVksCmo1bEVzq1du9ZVUiYKP7WfJotWCKh26KGHup/Jvim0jQ8ytf37779vp556qutG3759e/vHP/7hKlCHDh1qb731lh199NH27rvvWsuWLXMcXuOLNm/e3AWICnBVNSpnVVueddZZVqtWLVdxqy73CnPVPf+9996zDh06uNB07733znE8Ba0KJzVpVevWrd1xFIYq5FX1pqpCy5Qp4/bJr7MqX1VJqtBaDj5kTeab4+J4g8BWAQJQPgoIIIAAAggggAACCCCAAAIIIJCVAqpSVFWmqj///e9/u2BOFYzJmkI/hXa1a9d23d8V6Pl28cUXu4mF3njjDVddqsmF1NTVXuGnAsmxY8e6sE3LFaQqCKxTp46py7uqQ8844wytijWFnw899JBdf/31btkff/wRWxf2Ql2/fVPX83SaKiAvueQSF34qFFSFrG+aVf6uu+5y133NNdfYjBkzclSjal8NMaBqz5133tntJlt1cVcw/Msvv7iu8vJTu+KKK5zZ9OnTXSCs8wabwk/NVK9KVN/OPfdca9y4satcVdCsIFMtv84nnHCCC6Z9AKoQloZAOgJMgpSOGvsggAACCCCAAAIIIIAAAggggECRCCjgUzinqskbb7wxz3P26tXLbaPgMhh+aqG6eZ9//vluvSo3fdMERPfcc4+rhAyOg6n1OoaqKdWWLVvmfga/7bbbbnbdddfFFqm7eLK2dOlSt1rjfmr80HSaQl5Vkqqre1goqMrOevXqucpUjR0a37Teh59apypLba+mwNmHn3qvCtEmTZropTunexH4tv/+++e4f63Ssbt06eK28l3Y9aYgzu5gfEMgTQEqQNOEYzcEEEAAAQQQQAABBBBAAAEEECh8AXWFVwWoqkGfe+45U1f4v//97wlPrIl91BRkqpt4fFNgqaaJjnzTxEX68k1jiM6dO9dmzZrlxvZUF3i14HiifltNOOS7ePtlyX4qhFXT2JmaOEiTM+W3aTIjNXVvjw9stVxjhap6Uvfgt9Vy39S9P75psidtr0AzvvkgOay69cQTTwy9Bj9eavD8BXGOvybeI5AfAQLQ/GixLQIIIIAAAggggAACCCCAAAIIFLmAuqqrm7bGqlSXbM0KH9Y0xqS6qqtp+2RNExWtW7cu1j1cYaQm+tF4lwo+169fH9tdVZCJWn4DTB/A6ngKa/O7v/bzoWL8eJxa55uv6FQX/fgWtp8PccOGGPCz1Pttgsfba6+9gm9jr/2s8QsXLrTVq1fHJkNK1zl2YF4gkIZA4j/BeRxMv1T0laz5fxnR+BIqzc6r1ahRw/RFQwABBBBAAAEEEEAAAQQQQAABBIIC6gqvMTg1EZHGm1SX9fimGdZ96927t1WoUMG/Tfrzs88+c5MfrVq1yu1zxBFHuG7fmhhJlZQaY3PYsGGhx8jvhDwKJtX1XWNtasxNTV6UV9M2ChqvvPJKNyamnw1e428mapqQSc1vG9wurJt+0C64bfB12DaqZA1rPkCWj584qiDOYedgGQKpCqQdgGqAX42nkUp79dVXTV95NR2ve/fueW3GegQQQAABBBBAAAEEEEAAAQQQiJhA1apVXVd4VYNq5vGjjjoql8COO+7oxp9UFai2O/zww3NtE7ZAE/so/NT4oOpu7wM7v626hqslCvv8dqn8VBXl6aefbhob8+2337abb7456W6ffvqp204bqfpVTd3V1ZIVm6nSUm3XXXd1Pwvr26JFi0IP7c+vwNdXkBalc+hFsTCyAkyCFNlHz40jgAACCCCAAAIIIIAAAgggULIETjrppFgIeNNNN4Ve/CGHHOKWa6b3sKaA86CDDjLNCK+miY00U7qaZk+PDz/Vffvbb791631PV/emAN80Y7wqMz/44AMbNGhQwiOpitLPLn/kkUdaw4YN3bb+HlWV6is9gwdZsWKFjRw50i3yY3EG12fytSZkCmtDhgxxi30Ina6zD08zET6HXSfLoiGQdgXooYceauedd15Glfwf4IwelIMhgAACCCCAAAIIIIAAAggggECpEejbt6/rCu8rDONvTD1LNfmRtlMVaDAA1D7qzq6h+tq1a+d2rVy5spvpXOHm+PHjbd99940dUpP+qFpTY4WqhU0CFNs4Hy80e7tmtL///vtNVZGq5LzgggssODnRnDlz7Nprr7WPPvrIhbIan9S3Nm3auOrWzz//3Dp37mwPP/xwbCIidYvXEAEKHA8++GA3UZLfrzB+Khzu1q2b9ezZM3b4jz/+2FW4auzUO+64wy1P11n7qen5aNgADR9AQyC/AmkHoGeddZbpi4YAAggggAACCCCAAAIIIIAAAggUlYDvCq9q0LB2/PHH21VXXWUDBw5043dq1niN5Tl16lQbPXq06+rerFkz69Kli9td42G2b9/eBg8e7MLECRMmWPPmze2LL76wMWPGmCZLatKkiakrugK4TLVevXqZKjWfeOIJNxygglsFoI0bN3aB6PTp091ETKoU1bXpmn1TVeSAAQNcwKufChxbtWrluui/88477toVsmpCp7AxQP1xMvFTs8bffffdNnnyZDeOqoYLePnll11orGBU16GWrrPGEK1Tp47Nnz/fhb5169a14cOHW3AyqUzcB8co3QJpB6Clm4W7QwABBBBAAAEEEEAAAQQQQACBbBVo2bKlmxBI4WFY0/iaf/vb39z4muqK7btjq3t7hw4dXOC4ww47xHZViKgJkzS2qMJGfal6sUWLFqZAUeNc6nhDhw61fv36Wdhs6LGDpfhCIaZCWgW5quCcOHGizZ49233pEDq/et6qsjJYGeoPry7x6rqviZEUdCrgVdtjjz3swgsvtPvuu89q1arlNy+0nzq/mgLccePGudcad7R///5uTFW3YOu3dJ01TMBFF13kQtAlS5a4yaMIQIOyvM5LgAA0LyHWI4AAAggggAACCCCAAAIIIIBAkQg0bdrUwmYaDzu5wkN9JWqa0EhfS5cutVmzZpkmSNKEPGEzoFerVs2effZZF25+//33LnzUOKF+hndNOhR/Xbfeeqvpq6Ctbdu2pi91y1e16eLFi103b12rQtBkTTPDawxOddH/+uuvrUqVKjm68Mfvq3MkaqNGjUq0yoWwwS7u2lAVtL6KVu8VLCuQrV69unPWsviWjrOOoSBa1bcLFy50Fa01a9aMPzTvEUgqkPxPUtJdWYkAAggggAACCCCAAAIIIIAAAghkt4DCsqOPPjqli6xRo4br7p7SxhneSF37GzRo4L7ye2gFtY0aNcrvbhndvly5cilfQ7rOtWvXzug1c7DoCKQdgGpgYF/anCmuE0880Y3PkanjcRwEEEAAAQQQQAABBBBAAAEEEEAAAQQQiLZA2gGoxqbQILeZbCrtPuGEEzJ5SI6FAAIIIIAAAggggAACCCCAAAIIIIAAAhEWKBvhe+fWEUAAAQQQQAABBBBAAAEEEEAAAQQQQKCUC6RdAarZt5o3b55Rnvr162f0eBwMAQQQQAABBBBAAAEEEEAAAQQQQAABBKItkHYAqtnI9EVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSyVYAu8Nn6ZLguBBBAAAEEEEAAAQQQQAABBBBAAAEEECiwAAFogQk5AAIIIIAAAggggAACCCCAAAIIIIAAAghkqwABaLY+Ga4LAQQQQAABBBBAAAEEEEAAAQQQQAABBAoskPYYoAU+MwdAAAEEEEAAAQQQQAABBBBAAIG8BTZutBUPPpD3dsW0xYZZ3xTTmTktAgggkJoAAWhqTmyFAAIIIIAAAggggAACCCCAQPEIbN5sf7w3tnjOzVkRQACBUiBAF/hS8BC5BQQQQAABBBBAAAEEEEAAAQQQQAABBBAIF6ACNNyFpQgggAACCCCAAAIIIIAAAggUq8DQoUNt3bp1xXoN+T15gwYN8rsL2yOAAAKFLkAAWujEnAABBBBAAAEEEEAAAQQQQACB/At06tTJ5s+fn/8di3GP5557zo466qhivAJOjQACCOQWIADNbcISBBBAAAEEEEAAAQQQQAABBIpdYPbs2TZv3rxiv478XMCaNWvysznbIoAAAkUiwBigRcLMSRBAAAEEEEAAAQQQQAABBBBAAAEEEECgOASoAC0Odc6JAAIIIIAAAggggAACCCCAQIoCZctXstN7ZG9l5fRh19rcjx9L8W7YDAEEECh6ASpAi96cMyKAAAIIIIAAAggggAACCCCAAAIIIIBAEQkQgBYRNKdBAAEEEEAAAQQQQAABBBBAAAEEEEAAgaIXIAAtenPOiAACCCCAAAIIIIAAAggggAACCCCAAAJFJEAAWkTQnAYBBBBAAAEEEEAAAQQQQAABBBBAAAEEil6AALTozTkjAggggAACCCCAAAIIIIAAAggggAACCBSRAAFoEUFzGgQQQAABBBBAAAEEEEAAAQQQQAABBBAoegEC0KI354wIIIAAAggggAACCCCAAAIIIIAAAgggUEQCBKBFBM1pEEAAAQQQQAABBBBAAAEEEEAAAQQQQKDoBQhAi96cMyKAAAIIIIAAAggggAACCCCAAAIIIIBAEQkQgBYRNKdBAAEEEEAAAQQQQAABBBBAAAEEEEAAgaIXIAAtenPOiAACCCCAAAIIIIAAAggggAACCJRIgU2bNtmSJUtszZo1JfL6M33RK1euzPQhOV4hCBCAFgIqh0QAAQQQQAABBBBAAAEEEEAAgfwLzJw505o0aeK+xo4dm/QAixcvjm27cePGpNvmtfLll192x+rRo0euTRX4zZ07N8fyl156yW1/991351ieTW8mTJjgrvHkk0/O6GW9++67tuuuu9rQoUPdcTt06ODOc+6559rmzZuTnkteer4DBgxIul02r/z111/tgQcesCOOOMKqVKli1apVcz8bNmxovXv3tlWrVmXt5R9zzDHOf+nSpYV+jWF/bgr9pElOQACaBIdVCCCAAAIIIIAAAggggAACCCBQdAKrV6+2zz77zH1ddtll9vvvvyc8+YYNG2LbbtmyJeF2qaxYtGiRO9YPP/yQY/NPP/3UGjdubK+++mqO5X77H3/8McfybHrz22+/uXuaPn16Ri9LAWiZMmXspJNOcsf97rvv3Hn+85//2COPPJL0XPLS8/3ll1+SbpetK99++2074IADrHPnzjZ16lR3mfvvv7+VLVvWvvjiC7v11lttn332sUybZ8rj888/d/7r16/P1CFDj5Poz03oxkW0kAC0iKA5DQIIIIAAAggggAACCCCAAAIIpC4wb948FzSlvkf6Wx5++OF23XXXWYsWLXIc5IUXXnDBVo6FEX8zatQoV/24yy675JK47bbb7Pvvv8+1vDQsGDJkiJ122mm2bNkya9OmjSlMVLXnrFmzXFA/adIkV12pymRV3c6ePbs03HZa95CNf24IQNN6lOyEAAIIIIAAAggggAACCCCAAAKFJaCKOrWnnnrKRo8eXViniR33+OOPt4cfftguuOCC2DJe5BaYM2eOqeLzlFNOybWyXLlyblzQSy65JM+u8Ll2zvIFP//8s1155ZWmSuPjjjvO3nzzTWvUqFGOq1b38jFjxtiBBx5oCkHvvPPOHOt5U7wC5Yv39JwdAQQQQAABBBBAAAEEEEAAAQQQyCmw0047uSq7Z555xi6//HL78ssv3ViLObfK+526gU+bNs2FdvXr13ehVc2aNXPtqDERFy5caDvuuKPVqVPHNH7hN99846r9tLG6vGt80p133tlq1aqVa3+NC/nJJ5+44Ktp06YuBFM38UQt1evScXXu3Xff3SpXrmzjxo1z4aIqVStWrJjo8EmX+3vVfep+NczAlClTTBW3hx12mPuqUKFC6DHU/V2tVatWudb/7//+rwusVQn50EMP2Y033phrm7wWaAzRb7/91nUh17iuChkVKCpcTdT++OMPt48qMVesWOG6oGuf3XbbLdcuX331lZUvX97UbV3DHXzwwQem4FKfjWRN4biemT47gwcPdl3ew7avUaOG9ezZ08455xwbPny420fLgk1DN6i7vL8Wmatbva4rvn399dfu3nW9Cl+1jz5nDRo0cFW4QRc9P437WqlSJWvWrJntueee8YfL8V5u6qout0MOOcRZJ/tMpeKc3z83OS6okN9QAVrIwBweAQQQQAABBBBAAAEEEEAAAQTyL9CvXz8X4vz000/WsWPHfB1AQYyCKHXTPuGEE+yKK66wli1buvCye/fuFj9p0qBBg1wI1LVrV3cehYQKhTQ5kpoCPb3v06ePe++/KZTq27evC9v+/ve/27/+9S8XTu27774WNj5ofq9LFbA6r8YgVeVh69at7dRTT3Uu69at85eRr5/PP/+8O6a6dPfv39+FoBrPU2Ou/s///I8LQBXQhTUFoNWrV7cjjzwy12qFdPfcc49bfvvtt7tQMtdGSRYoYNZ4qwcddJBpQqV//vOf7joVgia6HgXkCqQ1AVG7du3s3//+t5144om2xx57uCEN1q5dm+OMGupA9/rWW2+ZntFFF13kAlN91hI1PeNXXnnFrb755ptdGJ1oWy0/88wz7b///a8tWbLE4sPPkSNHunvSRFA69/nnn+/eH3rooS6Ejj+uwnTdjypv5avPgipsFXDqvhUWK5hU1/y99trLHVPhq7Z94okn4g8Xey9PhcR/+9vf3D8w6HnKLFG1darOqf65iV1IEb4gAC1CbE6FAAIIIIAAAggggAACCCCAAAKpCWh2bQWAagpgfPVhKnsrDLvjjjtMlaT33XefDRs2zM3crZBHM70rYEvWqlatag8++KALiLSdQke919iPwaZqwJtuusl1CVdIqipInVOBlao016xZE9zchXTpXJcCuo8//tgFYJpkR6Fusmq9HCdN8ObRRx+1Tp06uWt6/PHHTeGvQjRVBCpQU1gbbJo4Z/z48e6+wqoVta1mhFdFpYLH/HSFV1WjQkFNHtS2bVtXZanQ8eKLL3bVvwoCNXlSsOk5qjpY1arqnv7iiy+anBQYaggF3d9jjz0W3MW9XrlypQtKt99+e3et+qlgOVFTpai6wKspqMyrqSpT17vddtvl2PT99993nyOFlu3bt3fXq7EyFZiq2vjoo4+2sWPH5thHb1Sh27x5czfxlMZY1edH1a0KG8866yx3TFXwqsu97lefO4Wieha69rCm5ysjVba+8cYbdumll5qqjeUwYsSIHLvkxznVPzc5TlBEb3LX1xbRiTkNAggggAACCCCAAAIIIIAAAgggkExAY00q5Hr66addaKWu8KpATNYUlGqMxtq1a7vu78Eu6wrUFLQp9FG1myarCWvqRqwASRP6+G7Seh/fFDSp0tRXjmq9gihVF2oSnIkTJ8a6ixfkujTupgLW66+/3l2CzlvQJksFzPL1TaGlKi7VnVphXHCszw8//NBN+hPW/d3vr1DtueeecxWZkydPdhWmClmTNVVY6r50T3fddZcL+Pz2CqoVOmrWdW2ja1DTtgo41QYMGOC6nLs3f35T1/trr73WhYEvvfRSrom0li9fbnvvvbd7Pvos6VgKQRO1+fPnx1ap63k6TaGrbHWvDzzwQI6KZlWC6r71ubnmmmtsxowZOcJt7atQXZ4agkFNla7q4q6q2V9++cXUVV6fdzVVO/swWYG1zhvf6tat66pU/XAQClLVDV8VrprJXtXMepb5dU71z0389RTFeypAi0KZcyCAAAIIIIAAAggggAACCCCAQFoCCowU9qgKL5VxJXv16uXOo0ApGH5qoQIfdTtWS9bt2W2QwjeNzRkMP7WLQip1LVYLdoMvyHWp4k+z1PuWLLDz2+T1U+Neqtt7sGmZxqRUmzt3bnBVrAI3GIrm2GDrm/3228/uvfde9042qihN1lQZqepWWarrfHxToKf7VQCo7dRWr17tQkOdR12+45uqKtU0Y3tYu+WWW2JBel6WqrRUUyCoa0ynKfxWNaa6nYcF6arsrFevnhurVmOHxjet9+Gn1qmSWdurKcD24afeqzpXAahaogpQ/dnw4afb8M9vui6NC6tgXOO4qhXU2R0kS76Vz5Lr4DIQQAABBBBAAAEEEEAAAQQQQACBXALqCq8KUAVvqi48++yzXYVarg23LtBEMWrqiqxwLb75yXHU7bigTYFWWPOBlKr3fCvIdak6L9mkSv4c+fmZ6JiqDlSlpbq8B5tCPI3PqfV5NVVrqspWQZoqEPVTAWJY8y6qylS1bVjT2JeasEfPTONVKry7+uqrc2yqyk51L1cFpe/GHT/Wq98h0XPz64M/fVCoCZoUaOc1YVJwX/9aFZpqGoc2OHGRX6/u8hrWQKGz39av008NexDfFDRre433Gd988K8KzrCmcVDjm4ZU0NiiGh9V13DssccW2Dn+HMX5ngC0OPU5NwIIIIAAAggggAACCCCAAAII5Cmgrurq9qsu26oIVJVaWNNM3RrLUE3bJ2uaXEkTCRVkLM1EYaAPK9XlWa2g15VO6Jbs3rXOB8Hx2/kZ4P21a/2CBQvcREQ33HBD/Oah74Nd4T/66CNXbatu7GFN3fvVFLoqBEzWNCSBbxqjVCGrxofVpD4LFy70q0JnVI+t/PNFfjyDTgpr87OvP6cPNRXyJmq+otN7BLcL289/xsKGhPBhs98meCxVvPqANLhcr/3M8Zlyjj9+cb4nAC1Ofc6NAAIIIIAAAggggAACCCCAAAIpCagr/KhRo9z4lAri/IzjwZ2DoV3v3r3dBDnB9Zl+HVbNF3aOgl5XQULasOvRMh+SJVofXC53tWTjfwa312uNg6ou6npW3bp1s3/84x/xm7j33kbhpybnSdY0i7ua9tHYmS+//LJ7ry7h6gqv2eDV/VtVw5pUKFHLj6eCSXV911ibGnMz0X0Ez6VtNKGUJmfSkAJ+QqQNGzYEN8vx2s9Y77cNrgzrpu/dgtvFvw7bJn5yq+A+vurXz15fUOfgsYv7NQFocT8Bzo8AAggggAACCCCAAAIIIIAAAnkKaIZpdYVXNahmzz7qqKNy7bPjjju6sRJVBartfGCWa8MiXpCt15Uqg7q/a4IbdYvOT/Nd4dW1/V//+pfrQh+/v+/Creebyhiv2l/dtBV+qvpx2LBhua5Lk2Cpqdt6QZuqKE8//XR7/PHH7e2333YTBSU7prrqazs1VSurqbu6WqIxObXOjxe766676m2hNYWwGi5An8n45q9B4bVaUTrHX0um34cPwJDps3A8BBBAAAEEEEAAAQQQQAABBBBAoIACGrvQh0o33XRT6NE0XqSaukeHNYWoGstSM8Ln1XyVZLKqubyO4ddn8rr8MYvip0LEMWPGuJBRIWh+msLDZ5991ipXruxmHQ97Jt5l4sSJseELgudYs2aNG5tSgbdmNVebMGGC+6lKy7BQ9vPPP3frE40B6lbm45uCXFVmKsgdNGhQwj1VQalt1TRWqSpS1fw9Kqz1lZ5uxdZvK1assJEjR7p3YfcT3DYTrxVox7fFixc7Vz2zRo0audXpOmfyz038dab7ngA0XTn2QwABBBBAAAEEEEAAAQQQQACBIhfo27ev614cnGAoeBHdu3d3b7WdQrVgU4Vbx44d3WQ6YeMqBrfVax/4+cq4+PX5eZ/J68rPeQu67SeffOJmU89r9vdE51E1Ya9evdzqsGd23HHH2fHHH+/GSVWX8fiAUDO2T5kyxY37esQRR7jjqIu7mgLJ+JDznXfesfvuu8+tTzQJkFuZj2+aNMlXp2pSpx49etjs2bNzHGHOnDl2xhlnmMY81efmwQcfjK1v06aNq0bWWKoaCzUYqKsiU8MEaMb6gw8+2E2UFNuxkF506dIlRzWqrkHBrcLm888/3zRBllq6zpn8c5MpArrAZ0qS4yCAAAIIIIAAAggggAACCCCAQKEL+K7wYTNZ6+QK06666iobOHCgm1RHs8ZrHMapU6fa6NGjbdWqVa6iUCFQXs3Pvq0qRgWB6gqt8CudlsnrSuf86e7jqwXzM/5n/Lmuu+46V5EbH0j77R599FFTEKqu66qalLMqLocPH+7G3VRFoSY78oFc+/btrU+fPm48WM1cruBR43qqYvG9995zFYyaGGn16tWm6sqwiYL8uVP9qRBXx3riiSdMYba+9Plo3LixCxOnT59uqgDVdQ8ePNh9xvyxdf0DBgxwwzLo58cff+zGU1V1rQJbXatCVl279i/MpkmuNHatKlTlpgmRVJk6bdo0N9apD6t1Dek6Z/LPTaYsymbqQBwHAQQQQAABBBBAAAEEEEAAAQQQKAqBli1buglmEp1L4zUqhKpTp44NGTLEunbt6sI1Vd516NDBdTfeYYcdEu0eW65xKzW5Tvny5U0B17hx42Lr0nmRqetK59zp7qMAVLPda9iAdJvvCp/IXJWPmmCobdu2bixMTXilSay0TOO4jhgxwtq1axc7vbqUqzu9JihSsH3HHXe4sTk1/qaCUQWMzZs3d9trHMtMNIWYCtVff/31WLd7VYG+9tprLhxXmHneeeeZZnw/88wzc51SgeOMGTNMlbQKPDVBlO5RlZ8XXnih+2wlmp0918EKsEBB8YcffuieqcJcBfq6Lk1ApaED/EzwOkW6zpn+c1OA243tWubPGZ22xN7xAoEUBfQvbWPHjnVbf9P2DNt9h8op7lm6N9vxxVds459/pOrXr5+rHL5033niu1P5v59977imZezq8yk8l9bQsZvs1RF/Dcj9/PPPpzT+UGLl0rOmdevW5v+Feecn97NytSqUnpsrwJ0sOucrs/Vb3F9G5s2bV4AjlZ5dVYHRtGlTd0PbH3+iVe8UPgZY6bnj1O5k9Vtv2Kpnn3YbP/XUU3b55ZentmMp30pVJKogUWvZ8VursvNfExGU8tvO8/ZG3FXdNq773XbbbTebP39+nttHYQNVv/gJU86qdao9c8hDUbjtPO/x8XnP223f3e22U3ijyjpa0QhoFmn9t79s+Up2eo81RXPSNM4yfdi1Nvfjx9ye+v/EFi1apHGUwttl6dKlNmvWLDfpiwKzsBm18zq7KvvUfVm/M1VBl4mWievKxHXkdQxVzdasWdN89/O8ti/oenVp/+6771yXeD2v2rVrJzykAm0NT6D/jqnqUM+nqJq68//000+msTM1S7yuVUF5Km3dunUuKK1SpYr5CYdS2S/T2yxZssTmzp3rgk6N05qopetcGH9uEl1jXstTezJ5HYX1CCCAAAIIIIAAAggggAACCCCAQBYKKLzzRRnpXp5CTwXSmWyZuK5MXk+iY5188smJVhXKcoWIqVabqiu3CpD0VdRNQzE0aNDAfeX33KrC9BMN5XffTG6/yy67mL7yauk6F8afm7yuNdF6usAnkmE5AggggAACCCCAAAIIIIBD5ZGWAABAAElEQVQAAggggAACCJR4AQLQEv8IuQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQSCRAAJpIhuUIIIAAAggggAACCCCAAAIIIIAAAgggUOIFCEBL/CPkBhBAAAEEEEAAAQQQQAABBBBAAAEEEEAgkQABaCIZliOAAAIIIIAAAggggAACCCCAAAIIIIBAiRcgAC3xj5AbQAABBBBAAAEEEEAAAQQQQAABBBBAAIFEAgSgiWRYjgACCCCAAAIIIIAAAggggAACCCCAAAIlXoAAtMQ/Qm4AAQQQQAABBBBAAAEEEEAAAQQQQAABBBIJlE+0guUIIIAAAggggAACCCCAAAIIIFD8Als2b7Av37mp+C8kwRUs+/HDBGtYjAACCGSHAAFodjwHrgIBBBBAAAEEEEAAAQQQQACBUIEtmzfa95P6hq5jIQIIIIBA3gJ0gc/biC0QQAABBBBAAAEEEEAAAQQQQAABBBBAoIQKUAFaQh8cl40AAggggAACCCCAAAIIIFC6BZ555hlbu3ZtibrJhg0blqjr5WIRQCAaAgSg0XjO3CUCCCCAAAIIIIAAAggggEAJExg4cKAtWrSoRF31gw8+aDvvvHOJumYuFgEESr8AAWjpf8bcIQIIIIAAAggggAACCCCAQAkU+OSTT2zevHkl6sp/++23EnW9XCwCCERDoNQFoOvWrbPXX3/dPv30U1u+fLntt99+1qhRI2vVqpWVK1cu3091/Pjx9sEHH9jPP/9smzdvtrp169pRRx1lJ510Ur6PxQ4IIIAAAggggAACCCCAAAIIIIAAAgggULQCpSoA1b80XXPNNfbTTz85xZ122sneffdd9zV58mTr3r27VahQISVhBak33XSTff755277atWquZ+zZs2yMWPG2LBhw+z++++3SpUqpXQ8NkIAAQQQQAABBBBAAAEEEEAgHYGKZSvYzGMmpbNrkezT/fv7bfCC14vkXJwEAQQQSEegVAWgPXv2dOFns2bNrFu3bla9enX75Zdf7Pbbb7eJEyfaww8/bJ07d07J6bHHHnPh5957721du3a1Aw44wO33zTffWI8ePWzatGn2yCOPWJcuXVI6HhshgAACCCCAAAIIIIAAAgggkI5AGStjNSvslM6uRbJPpXLbF8l5OAkCCCCQrkDZdHfMtv2++uormzJliqvIvPvuu134qWvcfffdrV+/fq77+8iRI23lypV5XvqaNWtchWfZsmVd2OnDT+144IEH2j333OOOMWLECNO2NAQQQAABBBBAAAEEEEAAAQQQQAABBBDIToFSE4C+//77Tvi4446z7bfP+a9P6grftGlTW79+vSkEzavNmDHDNm3aZHvuuafVq1cv1+Zatssuu9iWLVtszpw5udazAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSyQ6DUBKAzZ850our+HtYUgKp98cUXYatzLNO2GuOzT58+OZb7Nxs3brQVK1a4tzVq1PCL+YkAAggggAACCCCAAAIIIIAAAggggAACWSZQasYA1VifaokCSb/cT5CU7DmUKVPGdtxxx4SbjB492lWTaoxRdbFPp6l6dNWqVensmhX7KASmJRbYvHlzSsMtJD5C6VmzevXq0nMzhXQna9eu5fOy1ZbfLck/ZPxu2ebD75ZtFole/fHHH/xu2YrD75ZEn5K/lvO7ZZsPv1u2WSR6VZJ/t5QvX55JbBM9WJYjgAACpVyg1ASg/i8rPuiMf25+Fne/Xfz6VN/Pnz/fHn/8cbf5FVdcYQpL020lOQDVEAG0xAL6H4mS/HwT31n+1yjcoyUXWLduHZ+XrUSEFMk/KyX9H8+S313+1vK7JW8vhRT8t+gvJ363JP+88Ltlmw/j+2+zSPSqJP+9RUOlVapUKdGtsRwBBBBAoBQLlIou8Aqb9Jd8tapVq4Y+ripVqrjl+g92um3p0qXWsWNH++2339yYoqeffnq6h2I/BBBAAAEEEEAAAQQQQAABBBBAAAEEECgCgVJRAarZ2vUveaoGSRRw+uUVKlRIi3XevHnWuXNnW7BggTVo0MDNDp/WgQI7JapWDWyStS/VfYSWWECfyZL8fBPfWf7XJPpHifwfqfTuUblyZT4vWx/vdtttV3ofdAbuTL0O+N3yF6T/h80MsJbaQ/C7Zduj5XfLNouwV/y9ZZsKf2/ZZpHolf6/q6T+t6hcuXKJbovlCCCAAAKlXKDUpFg777yzaXzPlStXhj4yv3yHHXYIXZ9soSZOuuWWW9yxmzRpYnfffbelc5zgOfQ/sSW5+wV/eQg+zdyvfSife030llSsWDF6N53PO9Y/zJTk3wf5vN2km/O7JSmP8btlm4+6MdKSC/C7ZZsPv1u2WYS9Kul/Lw27p3SX8bslbzl+t+RtxBYIIIAAAtknUCq6wItVAaiaDzrdm8C333//3b1LNrlRYPPYy3HjxtkNN9zgjnvKKae4meELGn7GDs4LBBBAAAEEEEAAAQQQQAABBBBAAAEEEChUgVITgO66664Oas6cOaFgfvlBBx0Uuj5s4fDhw6179+62YcMGu+SSS6xr165G1+8wKZYhgAACCCCAAAIIIIAAAgggULgCmv8jUdFT4Z45u46OQXY9D66mZAiUmgC0RYsWTnzs2LG55PVLUpWcao0aNcq1PmzBxx9/7Ko91SVI3d8vvfTSsM1YhgACCCCAAAIIIIAAAggggAAChSTwySef2BVXXGHNmjVzkx5Xq1bNatasaSeccIK98sortn79+qRn3rRpk82dOzfHNi+99JL54e1yrMjSN7/++qs98MADdsQRR5jGQZeBfjZs2NB69+5tq1atysorHzRokHO+9957i+T6vvvuuyI5T6KThH3WEm3L8qIXKDUB6JFHHml777236QM/cuTIHJKDBw82zeC+1157uV+awZUffvihjRkzJscvRE2Y1L9/f9uyZYtdfvnlduqppwZ34TUCCCCAAAIIIIAAAggggAACCBSiwMaNG+3OO++0o48+2p566imbMmWKaVK7+vXruyrQ999/384//3xr3Lixff/996FX8umnn7r1r776ao71ixYtss8++8x+/PHHHMuz8c3bb79tBxxwgJuUeerUqe4S999/fzc2vOYrufXWW22fffax6dOnZ93lL1y4sEicFTzKQZ+F4mqJPmvFdT2cN7dAqQlAVan573//2zTIvf514Y477rAXX3zRunTpYk8++aT7RanX2i7YHnroITej+wcffBBb/Prrr9v8+fPd+2effdaOP/74hF+TJk2K7ccLBBBAAAEEEEAAAQQQQAABBBAouIAKke666y5XmNS5c2fTsHbLly+32bNn2+rVq02FTnXr1rWZM2da06ZN7Ztvvsl10hdeeMEUEpbUNmTIEDvttNNs2bJl1qZNG/v8889dteesWbNM85woj1Al6+LFi+3kk092NiX1Xgty3b/99purhM2rGrgg58hr35L+Wcvr/krD+lITgOphHHvssa5ys3bt2jZ+/HgXfH700UeuMrRv37522GGHpfTMgv9yon9JSPal7vU0BBBAAAEEEEAAAQQQQAABBBDIjMDLL79so0ePtkqVKpl6bfbp08fq1asXK2hSJaiqP999912rUaOGC0Yvvvhi9//umbmC4j/Kzz//bFdeeaULgI877jh78803cw3pd8wxx7gerQceeKALQVUxS0MAgXCB8uGLS+7Sww8/3F577TXX5f2nn34yTY6kQLRs2fCsV/+iEt/uv//++EW8RwABBBBAAAEEEEAAAQQQQACBQhbQBD+q+FRTL06N/ZmoaZLjN954w1q1auW6yOv/78877zwXhKoiVJWTauryrkrRnXfe2WrVqpXrcBpjU2ONqpJS1aQKFON7jwZ3UsXhtGnT3BB86pKvuUY0Lml803F17t13390qV67s5iZREZXmMKlYsWL85jneP/zww6bz6Liqdk2UaSgA7tmzp51zzjmmiZy1j5YFmyZ2ViXsV1995SZ2VnGYutWHTfL89ddfu5616mavYQG1j2waNGjgxiBVr1vf5s2bZxMmTHBBtZ7Tnnvu6VeF/tSQAypSq1ChgnPeY489QrfzC9UzV89RQxzIYb/99nPPRvv7tmDBAlcdrPe6Xj1nNX02gmZ//PGHffvtt6bq2RUrVrhhA/Scd9ttN7d98JsMtK+MdEzt89///td22mknZ1CnTp3Y5iqYy89nLbYjL4pcoNQFoF5QfzjCfgH59fxEAAEEEEAAAQQQQAABBBBAAIHsEhg6dKgp1FIx080335znxZ144onWunVrGzZsmJsUSQGo5gA55JBDYvtq6Dt9derUydQ71DeFW3qv8SM15qhvCjU1kbLmEQk2hV0acq9Hjx45tlcoePvtt1u3bt1yhIoau/S2226zxx9/3NRFWpMtq+2yyy6mgq1EIaiuSxM8qclAAWqyduaZZ7qATgVhqo4NNs2RcsMNN7jwL7hc4Z+uSYFvsOl99erVbeLEiXbKKafkGF9VGcvkyZPd0AMKXEeMGBHbdfvtt7cHH3zQVa3GFm59odBXobYmcgo2PSsZ7bDDDsHFpupXzccyatSoHMv1RuOdaqhC9QBWU/grXzUFvf65K0jXRFFqzzzzjHXs2NENG+AWbP2mkPOaa64xFcGp2tg3GWhfjeupcP3LL7/0q1wwrs+LPgN67ql+1mIH4EWxCZTaALTYRDkxAggggAACCCCAAAIIIIAAAgikJaBqOzVVKQZDqWQHU/CnAFTd5hUeVq1a1YVxqg7VfB8aT/Skk07KNUmOKitVGaj1GkNTFYIKHjXeqKo0VTWpyk3f2rVr57qiK5xVmKoqQ03ErGpNBWKqPtScIvGtX79+bjuFc2vXrnVVhInCT+37ww8/uBBQrw899FD9SNoUxMUHmdpBE0Xp3mTSvn17+8c//mEKIxUyv/XWW26CKQ0j0LJlyxzH1/iizZs3dyGgAlxViiqoVDB91llnuSpahYLqcq8wV93z33vvPevQoYMLTTVBdbApaFU4edlll7mwWsdRGOqtVRXqK25Vwapnr/Fej/9zPhY9F4WeGuZQgavGgG3btq2p+lSfDwWxqiRVAC0HH7J6Xz2X7t27u+pfDSmg+1qyZIk7lkLeRx991AXdvurYX/eqVatMQwzITsfQfSoUV49jheAakkEhbaqfNX9cfhafAAFo8dlzZgQQQAABBBBAAAEEEEAAAQQQCAgohFRTwJRq87N/r1u3ztTtXGGVwjh1nVYAqiBL7+Obwk9VEHbt2jW2SqHevvvu64I2BWSqAFRTUKigT0Psqft7sCu9xh/VZEQKXBXCKrQLNoWkqkC9/vrr3WKdN1nzkzJrG3U9T6epAvKSSy5xAZ5CQVVA+nbRRRe5CaZ0r6qAnDFjRo5qVO2r7t6q9tSwAWqadFpd3BXy/vLLL6Zu4rJQu+KKK9z9az4VBZU6b7Ap/Ozfv7+rRPXLzz33XBdIq2u5QmMFmWqq1lT4qeB37NixLtTUcoXPul51P9czVnXoGWecYSeccIILTH0AGnzOclbAqTZgwIDYOfT+xhtvtGuvvdYee+wxe+mll2LDLmidmgJQnUsTT/kQ/Kqrrorto+tUAKoQNpXP2l9H5XtxCoQPjFmcV8S5EUAAAQQQQAABBBBAAAEEEEAgkgLpBKAHH3xwzErjeKba1LU8GH5qPwV+f/vb39whNGalb7169XIvFcIFw08tVNdwTcqkpmrP+KZxJq+77rrYYnUXT9bUrVpNXbTz6v6e6DgKbFVJqq7uwVDQb6/KToXMCmc1dmh803offmqdqix9KK3gz4efWqcKUQXAajpnfNN4osH713odW2O8qvku7Hqt8VTvueceV3Gqis5gk/vRRx/tFvnxXYPr41+vXr3aBb2q2PQBa3AbDR2gluhYClV9+On3U+iqNnfuXL+InyVEoHwJuU4uEwEEEEAAAQQQQAABBBBAAAEESrmAn+BGVYipNlUE+hY/AZBfHvZT4WBY8+Fe8Bo0GZCaQjl1L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" width="672" /></p>
</div>
<div id="mediation-of-association-of-combexp-x-conflzone-x-polid-x-and-natid-x-with-moralscore-y-by-ihlscore-m" class="section level2">
<h2>Mediation of Association of CombExp (X), ConflZone (X), PolID (X), and NatID (X) with MoralScore (Y) by IHLScore (M)</h2>
<pre class="r"><code># Mediation of Combat Experience (X) on MoralScore (Y) by IHLScore (M)

## ACME Method
med.fit.combexp &lt;- lm(IHLScore ~ CombExp, data = emotions_survey_text) # CombExp (X) on IHLScore (M)
out.fit.combexp &lt;- lm(MoralScore ~ IHLScore + CombExp, data = emotions_survey_text) # CombatExp (X) and IHLScore (M) on MoralScore (Y), 
med.out.combexp &lt;- mediate(med.fit.combexp, out.fit.combexp, treat = &quot;CombExp&quot;, mediator = &quot;IHLScore&quot;, sims = 1000)
summary(med.out.combexp) # significant mediation effects (ACME)</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value    </code></pre>
<p>ACME -0.0909 -0.1513 -0.04 0.002 ** ADE -1.0413 -1.2779 -0.81 &lt;2e-16 <strong><em> Total Effect -1.1322 -1.3739 -0.91 &lt;2e-16 </em></strong> Prop. Mediated 0.0792 0.0374 0.14 0.002 ** — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 1073</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.combexp, main = &quot;Figure OA.22: ACME of IHLScore on Association of CombExp and MoralScore&quot;) # plot the mediation effects</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>med.boot.combexp &lt;- mediate(med.fit.combexp, out.fit.combexp, boot = T, treat = &quot;CombExp&quot;, mediator = &quot;IHLScore&quot;, sims = 1000) # bootstrap</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>summary(med.boot.combexp) # significant mediation effects (ACME) with bootstrap</code></pre>
<p>Causal Mediation Analysis</p>
<p>Nonparametric Bootstrap Confidence Intervals with the Percentile Method</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value    </code></pre>
<p>ACME -0.0909 -0.1524 -0.03 &lt;2e-16 <strong><em> ADE -1.0390 -1.2615 -0.80 &lt;2e-16 </em></strong> Total Effect -1.1299 -1.3660 -0.89 &lt;2e-16 <strong><em> Prop. Mediated 0.0804 0.0321 0.14 &lt;2e-16 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 1073</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.boot.combexp, main = &quot;Figure OA.23: ACME of IHLScore on Association of CombExp and MoralScore, Bootstrap&quot;) # plot the mediation efects</code></pre>
<p><img 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" 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<pre class="r"><code>## Baron and Kenny (1986) Mediation Procedure
fit.combexp &lt;- lm(MoralScore ~ CombExp, data = emotions_survey_text)
summary(fit.combexp) # total effect, path c</code></pre>
<p>Call: lm(formula = MoralScore ~ CombExp, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -3.8020 -0.9686 -0.0054 1.1980 3.3279</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 4.80196 0.04697 102.224 &lt;2e-16 <strong><em> CombExp -1.12988 0.12399 -9.112 &lt;2e-16 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.424 on 1071 degrees of freedom Multiple R-squared: 0.07195, Adjusted R-squared: 0.07108 F-statistic: 83.03 on 1 and 1071 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>fita.combexp &lt;- lm(IHLScore ~ CombExp, data = emotions_survey_text)
summary(fita.combexp) # path A (X on M)</code></pre>
<p>Call: lm(formula = IHLScore ~ CombExp, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -0.53896 -0.08633 -0.08633 0.08034 0.46104</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 0.586326 0.005087 115.252 &lt; 2e-16 <strong><em> CombExp -0.047365 0.013429 -3.527 0.000438 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 0.1542 on 1071 degrees of freedom Multiple R-squared: 0.01148, Adjusted R-squared: 0.01056 F-statistic: 12.44 on 1 and 1071 DF, p-value: 0.0004378</p>
<pre class="r"><code>fitb.combexp &lt;- lm(MoralScore ~ IHLScore + CombExp, data = emotions_survey_text)
summary(fitb.combexp) # path B (M on Y, controlling for X), IHL Score significantly mediates effect of CombExp on MoralScore</code></pre>
<p>Call: lm(formula = MoralScore ~ IHLScore + CombExp, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -4.1092 -0.9697 -0.0838 1.0439 3.4027</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 3.6770 0.1683 21.848 &lt; 2e-16 <strong><em> IHLScore 1.9186 0.2761 6.948 6.41e-12 </em></strong> CombExp -1.0390 0.1220 -8.513 &lt; 2e-16 *** — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.394 on 1070 degrees of freedom Multiple R-squared: 0.112, Adjusted R-squared: 0.1104 F-statistic: 67.49 on 2 and 1070 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>fitc.combexp &lt;- lm(CombExp ~ MoralScore + IHLScore, data = emotions_survey_text)
summary(fitc.combexp) # reverse path c (Y on X, controlling for M), violating Baron and Kenny assumptions because significant</code></pre>
<p>Call: lm(formula = CombExp ~ MoralScore + IHLScore, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -0.3745 -0.1913 -0.1099 -0.0102 1.0468</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 0.490498 0.046712 10.500 &lt;2e-16 <strong><em> MoralScore -0.061053 0.007172 -8.513 &lt;2e-16 </em></strong> IHLScore -0.109916 0.068345 -1.608 0.108<br />
— Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 0.3378 on 1070 degrees of freedom Multiple R-squared: 0.07419, Adjusted R-squared: 0.07246 F-statistic: 42.87 on 2 and 1070 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>stargazer(fit.combexp, fita.combexp, fitb.combexp, fitc.combexp, type = &#39;html&#39;, title = &quot;Table OA.39: Mediation of Association of Combat Experience (X) and MoralScore (Y) by IHLScore (M), Baron and Kenny Method&quot;)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.39: Mediation of Association of Combat Experience (X) and MoralScore (Y) by IHLScore (M), Baron and Kenny Method</strong>
</caption>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="4">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="4" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
MoralScore
</td>
<td>
IHLScore
</td>
<td>
MoralScore
</td>
<td>
CombExp
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
MoralScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.061<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
(0.007)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
1.919<sup>***</sup>
</td>
<td>
-0.110
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
(0.276)
</td>
<td>
(0.068)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
CombExp
</td>
<td>
-1.130<sup>***</sup>
</td>
<td>
-0.047<sup>***</sup>
</td>
<td>
-1.039<sup>***</sup>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.124)
</td>
<td>
(0.013)
</td>
<td>
(0.122)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.802<sup>***</sup>
</td>
<td>
0.586<sup>***</sup>
</td>
<td>
3.677<sup>***</sup>
</td>
<td>
0.490<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.047)
</td>
<td>
(0.005)
</td>
<td>
(0.168)
</td>
<td>
(0.047)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
1,073
</td>
<td>
1,073
</td>
<td>
1,073
</td>
<td>
1,073
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.072
</td>
<td>
0.011
</td>
<td>
0.112
</td>
<td>
0.074
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.071
</td>
<td>
0.011
</td>
<td>
0.110
</td>
<td>
0.072
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.424 (df = 1071)
</td>
<td>
0.154 (df = 1071)
</td>
<td>
1.394 (df = 1070)
</td>
<td>
0.338 (df = 1070)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
83.034<sup>***</sup> (df = 1; 1071)
</td>
<td>
12.441<sup>***</sup> (df = 1; 1071)
</td>
<td>
67.490<sup>***</sup> (df = 2; 1070)
</td>
<td>
42.872<sup>***</sup> (df = 2; 1070)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="4" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>sobel(emotions_survey_text$CombExp, emotions_survey_text$IHLScore, emotions_survey_text$MoralScore) # sobel significance test of mediation effect</code></pre>
<p>$<code>Mod1: Y~X</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 4.801959 0.04697473 102.224297 0.000000e+00 pred -1.129881 0.12399489 -9.112317 3.868002e-19</p>
<p>$<code>Mod2: Y~X+M</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 3.677029 0.1682969 21.848465 8.535789e-88 pred -1.039006 0.1220481 -8.513091 5.662259e-17 med 1.918609 0.2761206 6.948443 6.405781e-12</p>
<p>$<code>Mod3: M~X</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 0.58632572 0.005087331 115.25213 0.0000000000 pred -0.04736468 0.013428561 -3.52716 0.0004378361</p>
<p>$Indirect.Effect [1] -0.09087427</p>
<p>$SE [1] 0.02889351</p>
<p>$z.value [1] -3.145144</p>
<p>$N [1] 1073</p>
<pre class="r"><code>mediation.test(emotions_survey_text$IHLScore, emotions_survey_text$CombExp, emotions_survey_text$MoralScore) # Association of CombExp and MoralScore is significantly mediated by IHLScore</code></pre>
<pre><code>           Sobel       Aroian      Goodman</code></pre>
<p>z.value -3.145144486 -3.119562015 -3.171366839 p.value 0.001660048 0.001811201 0.001517234</p>
<pre class="r"><code># Mediation of Conflict Zone (X) on MoralScore (Y) by IHLScore (M)

## ACME Method
med.fit.conflzone &lt;- lm(IHLScore ~  ConflZone, data = emotions_survey_text)
out.fit.conflzone &lt;- lm(MoralScore ~ IHLScore + ConflZone, data = emotions_survey_text)
med.out.conflzone &lt;- mediate(med.fit.conflzone, out.fit.conflzone, treat = &quot;ConflZone&quot;, mediator = &quot;IHLScore&quot;, robustSE = T, sims = 1000)
summary(med.out.conflzone) # significant mediation effects</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value    </code></pre>
<p>ACME -0.0825 -0.1460 -0.03 0.002 ** ADE -0.9930 -1.2354 -0.76 &lt;2e-16 <strong><em> Total Effect -1.0755 -1.3157 -0.84 &lt;2e-16 </em></strong> Prop. Mediated 0.0745 0.0299 0.13 0.002 ** — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 1073</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.conflzone, main = &quot;Figure OA.24: ACME of IHLScore on Association of ConflZone and MoralScore&quot;) # plot the mediation effects (ACME)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>med.boot.conflzone &lt;- mediate(med.fit.conflzone, out.fit.conflzone, boot = T, treat = &quot;ConflZone&quot;, mediator = &quot;IHLScore&quot;, sims = 1000) # bootstrap</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>summary(med.boot.conflzone) # significant mediation effects (ACME) with bootstrap</code></pre>
<p>Causal Mediation Analysis</p>
<p>Nonparametric Bootstrap Confidence Intervals with the Percentile Method</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value    </code></pre>
<p>ACME -0.0816 -0.1394 -0.03 0.004 ** ADE -0.9883 -1.2404 -0.77 &lt;2e-16 <strong><em> Total Effect -1.0699 -1.3099 -0.85 &lt;2e-16 </em></strong> Prop. Mediated 0.0762 0.0236 0.13 0.004 ** — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 1073</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.boot.conflzone, main = &quot;Figure OA.25: ACME of IHLScore on Association of ConflZone and MoralScore, Bootstrap&quot;) # plot the mediation efects</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>## Baron and Kenny (1986) Mediation Procedure
fit.conflzone &lt;- lm(MoralScore ~ ConflZone, data = emotions_survey_text)
summary(fit.conflzone) # total effect significant</code></pre>
<p>Call: lm(formula = MoralScore ~ ConflZone, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -3.7913 -0.9580 -0.0548 1.2087 3.2785</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 4.79135 0.04713 101.664 &lt;2e-16 <strong><em> ConflZone -1.06986 0.12522 -8.544 &lt;2e-16 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.43 on 1071 degrees of freedom Multiple R-squared: 0.06381, Adjusted R-squared: 0.06294 F-statistic: 73 on 1 and 1071 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>fita.conflzone &lt;- lm(IHLScore ~ ConflZone, data = emotions_survey_text)
summary(fita.conflzone) # path A significant</code></pre>
<p>Call: lm(formula = IHLScore ~ ConflZone, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -0.54386 -0.08541 -0.08541 0.08125 0.45614</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 0.585414 0.005089 115.039 &lt; 2e-16 *<strong> ConflZone -0.041555 0.013521 -3.073 0.00217 </strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 0.1544 on 1071 degrees of freedom Multiple R-squared: 0.008743, Adjusted R-squared: 0.007817 F-statistic: 9.446 on 1 and 1071 DF, p-value: 0.00217</p>
<pre class="r"><code>fitb.conflzone &lt;- lm(MoralScore ~ IHLScore + ConflZone, data = emotions_survey_text)
summary(fitb.conflzone) # path B significant, significant mediation effect</code></pre>
<p>Call: lm(formula = MoralScore ~ IHLScore + ConflZone, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -4.1112 -0.9633 -0.1112 1.0492 3.3646</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 3.6424 0.1684 21.629 &lt; 2e-16 <strong><em> IHLScore 1.9626 0.2767 7.093 2.38e-12 </em></strong> ConflZone -0.9883 0.1230 -8.037 2.42e-15 *** — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.398 on 1070 degrees of freedom Multiple R-squared: 0.1059, Adjusted R-squared: 0.1042 F-statistic: 63.33 on 2 and 1070 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>fitc.conflzone &lt;- lm(ConflZone ~ MoralScore + IHLScore, data = emotions_survey_text)
summary(fitc.conflzone) </code></pre>
<p>Call: lm(formula = ConflZone ~ MoralScore + IHLScore, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -0.35811 -0.18530 -0.10850 -0.02209 1.03019</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 0.458398 0.046684 9.819 &lt; 2e-16 <strong><em> MoralScore -0.057604 0.007167 -8.037 2.42e-15 </em></strong> IHLScore -0.085360 0.068303 -1.250 0.212<br />
— Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 0.3376 on 1070 degrees of freedom Multiple R-squared: 0.06518, Adjusted R-squared: 0.06343 F-statistic: 37.3 on 2 and 1070 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>stargazer(fit.conflzone, fita.conflzone, fitb.conflzone, fitc.conflzone, type = &#39;html&#39;, title = &quot;Table OA.40: Mediation of Association of ConflZone (X) with MoralScore (Y) by IHLScore (M), Baron and Kenny Method&quot;)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.40: Mediation of Association of ConflZone (X) with MoralScore (Y) by IHLScore (M), Baron and Kenny Method</strong>
</caption>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="4">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="4" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
MoralScore
</td>
<td>
IHLScore
</td>
<td>
MoralScore
</td>
<td>
ConflZone
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
MoralScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.058<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
(0.007)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
1.963<sup>***</sup>
</td>
<td>
-0.085
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
(0.277)
</td>
<td>
(0.068)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
ConflZone
</td>
<td>
-1.070<sup>***</sup>
</td>
<td>
-0.042<sup>***</sup>
</td>
<td>
-0.988<sup>***</sup>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.125)
</td>
<td>
(0.014)
</td>
<td>
(0.123)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
4.791<sup>***</sup>
</td>
<td>
0.585<sup>***</sup>
</td>
<td>
3.642<sup>***</sup>
</td>
<td>
0.458<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.047)
</td>
<td>
(0.005)
</td>
<td>
(0.168)
</td>
<td>
(0.047)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
1,073
</td>
<td>
1,073
</td>
<td>
1,073
</td>
<td>
1,073
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.064
</td>
<td>
0.009
</td>
<td>
0.106
</td>
<td>
0.065
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.063
</td>
<td>
0.008
</td>
<td>
0.104
</td>
<td>
0.063
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.430 (df = 1071)
</td>
<td>
0.154 (df = 1071)
</td>
<td>
1.398 (df = 1070)
</td>
<td>
0.338 (df = 1070)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
72.999<sup>***</sup> (df = 1; 1071)
</td>
<td>
9.446<sup>***</sup> (df = 1; 1071)
</td>
<td>
63.335<sup>***</sup> (df = 2; 1070)
</td>
<td>
37.300<sup>***</sup> (df = 2; 1070)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="4" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>sobel(emotions_survey_text$ConflZone, emotions_survey_text$IHLScore, emotions_survey_text$MoralScore) # sobel significance test of mediation effect</code></pre>
<p>$<code>Mod1: Y~X</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 4.791350 0.04712905 101.66447 0.000000e+00 pred -1.069859 0.12521800 -8.54397 4.405482e-17</p>
<p>$<code>Mod2: Y~X+M</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 3.6424341 0.1684080 21.628635 2.365208e-86 pred -0.9883047 0.1229700 -8.036955 2.420721e-15 med 1.9625685 0.2766946 7.092904 2.383909e-12</p>
<p>$<code>Mod3: M~X</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 0.58541440 0.005088842 115.038822 0.000000000 pred -0.04155476 0.013520634 -3.073433 0.002169631</p>
<p>$Indirect.Effect [1] -0.08155406</p>
<p>$SE [1] 0.02891918</p>
<p>$z.value [1] -2.820068</p>
<p>$N [1] 1073</p>
<pre class="r"><code>mediation.test(emotions_survey_text$IHLScore, emotions_survey_text$ConflZone, emotions_survey_text$MoralScore) # significant mediation effects</code></pre>
<pre><code>           Sobel       Aroian      Goodman</code></pre>
<p>z.value -2.820068421 -2.796763704 -2.843965596 p.value 0.004801341 0.005161727 0.004455586</p>
<pre class="r"><code># Mediation of NatID (X) on MoralScore (Y) by IHLScore (M)

## ACME Method
med.fit.natid &lt;- lm(IHLScore ~  NatID, data = emotions_survey_text)
out.fit.natid &lt;- lm(MoralScore ~ IHLScore + NatID, data = emotions_survey_text)
med.out.natid &lt;- mediate(med.fit.natid, out.fit.natid, treat = &quot;NatID&quot;, mediator = &quot;IHLScore&quot;, robustSE = T, sims = 1000)
summary(med.out.natid) # significant mediation effects (ACME)</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value    </code></pre>
<p>ACME -0.0347 -0.0547 -0.02 &lt;2e-16 <strong><em> ADE -0.3619 -0.4376 -0.29 &lt;2e-16 </em></strong> Total Effect -0.3966 -0.4713 -0.32 &lt;2e-16 <strong><em> Prop. Mediated 0.0871 0.0444 0.14 &lt;2e-16 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 1073</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.natid, main = &quot;Figure OA.26: ACME of IHLScore on Association of NatID and MoralScore&quot;) # plot the mediation effects</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>med.boot.natid &lt;- mediate(med.fit.natid, out.fit.natid, boot = T, treat = &quot;NatID&quot;, mediator = &quot;IHLScore&quot;, sims = 1000) # bootstrap</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>summary(med.boot.natid) # significant mediation effects (ACME) with bootstrap</code></pre>
<p>Causal Mediation Analysis</p>
<p>Nonparametric Bootstrap Confidence Intervals with the Percentile Method</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value    </code></pre>
<p>ACME -0.0349 -0.0544 -0.02 &lt;2e-16 <strong><em> ADE -0.3632 -0.4374 -0.29 &lt;2e-16 </em></strong> Total Effect -0.3981 -0.4753 -0.33 &lt;2e-16 <strong><em> Prop. Mediated 0.0877 0.0445 0.14 &lt;2e-16 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 1073</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.boot.natid, main = &quot;Figure OA.27: ACME of IHLScore on Association of NatID and MoralScore, Bootstrap&quot;) # plot the mediation efects</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>## Baron and Kenny (1986) Mediation Procedure
fit.natid &lt;- lm(MoralScore ~ NatID, data = emotions_survey_text)
summary(fit.natid) # significant total effect</code></pre>
<p>Call: lm(formula = MoralScore ~ NatID, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -3.4974 -1.0717 -0.0345 1.0950 2.7616</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 6.22878 0.15992 38.95 &lt;2e-16 <strong><em> NatID -0.39808 0.03859 -10.32 &lt;2e-16 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.41 on 1071 degrees of freedom Multiple R-squared: 0.09039, Adjusted R-squared: 0.08954 F-statistic: 106.4 on 1 and 1071 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>fita.natid &lt;- lm(IHLScore ~ NatID, data = emotions_survey_text)
summary(fita.natid) # path A significant</code></pre>
<p>Call: lm(formula = IHLScore ~ NatID, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -0.57937 -0.07937 -0.06005 0.08730 0.43995</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 0.656626 0.017425 37.684 &lt; 2e-16 <strong><em> NatID -0.019315 0.004204 -4.594 4.86e-06 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 0.1536 on 1071 degrees of freedom Multiple R-squared: 0.01933, Adjusted R-squared: 0.01841 F-statistic: 21.11 on 1 and 1071 DF, p-value: 4.86e-06</p>
<pre class="r"><code>fitb.natid &lt;- lm(MoralScore ~ IHLScore + NatID, data = emotions_survey_text)
summary(fitb.natid) # path B signficant, significant mediation</code></pre>
<p>Call: lm(formula = MoralScore ~ IHLScore + NatID, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -3.9287 -0.9930 -0.0229 1.0841 3.0047</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 5.04219 0.23923 21.076 &lt; 2e-16 <strong><em> IHLScore 1.80711 0.27509 6.569 7.88e-11 </em></strong> NatID -0.36318 0.03822 -9.502 &lt; 2e-16 *** — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.383 on 1070 degrees of freedom Multiple R-squared: 0.1257, Adjusted R-squared: 0.124 F-statistic: 76.89 on 2 and 1070 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>fitc.natid &lt;- lm(NatID ~ MoralScore + IHLScore, data = emotions_survey_text)
summary(fitc.natid) </code></pre>
<p>Call: lm(formula = NatID ~ MoralScore + IHLScore, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -3.5284 -0.7070 0.2215 0.8287 1.7393</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 5.29614 0.14687 36.059 &lt;2e-16 <strong><em> MoralScore -0.21427 0.02255 -9.502 &lt;2e-16 </em></strong> IHLScore -0.53550 0.21489 -2.492 0.0129 *<br />
— Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.062 on 1070 degrees of freedom Multiple R-squared: 0.09564, Adjusted R-squared: 0.09395 F-statistic: 56.58 on 2 and 1070 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>stargazer(fit.natid, fita.natid, fitb.natid, fitc.natid, type = &#39;html&#39;, title = &quot;Table OA.41: Mediation Association of NatID (X) with MoralScore (Y) by IHLScore (M), Baron and Kenny Method&quot;)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.41: Mediation Association of NatID (X) with MoralScore (Y) by IHLScore (M), Baron and Kenny Method</strong>
</caption>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="4">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="4" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
MoralScore
</td>
<td>
IHLScore
</td>
<td>
MoralScore
</td>
<td>
NatID
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
MoralScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.214<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
(0.023)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
1.807<sup>***</sup>
</td>
<td>
-0.536<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
(0.275)
</td>
<td>
(0.215)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
NatID
</td>
<td>
-0.398<sup>***</sup>
</td>
<td>
-0.019<sup>***</sup>
</td>
<td>
-0.363<sup>***</sup>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.039)
</td>
<td>
(0.004)
</td>
<td>
(0.038)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
6.229<sup>***</sup>
</td>
<td>
0.657<sup>***</sup>
</td>
<td>
5.042<sup>***</sup>
</td>
<td>
5.296<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.160)
</td>
<td>
(0.017)
</td>
<td>
(0.239)
</td>
<td>
(0.147)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
1,073
</td>
<td>
1,073
</td>
<td>
1,073
</td>
<td>
1,073
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.090
</td>
<td>
0.019
</td>
<td>
0.126
</td>
<td>
0.096
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.090
</td>
<td>
0.018
</td>
<td>
0.124
</td>
<td>
0.094
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.410 (df = 1071)
</td>
<td>
0.154 (df = 1071)
</td>
<td>
1.383 (df = 1070)
</td>
<td>
1.062 (df = 1070)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
106.432<sup>***</sup> (df = 1; 1071)
</td>
<td>
21.107<sup>***</sup> (df = 1; 1071)
</td>
<td>
76.888<sup>***</sup> (df = 2; 1070)
</td>
<td>
56.580<sup>***</sup> (df = 2; 1070)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="4" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>sobel(emotions_survey_text$NatID, emotions_survey_text$IHLScore, emotions_survey_text$MoralScore) # sobel significance test of mediation effect</code></pre>
<p>$<code>Mod1: Y~X</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 6.2287813 0.15992254 38.94874 2.051871e-207 pred -0.3980813 0.03858647 -10.31660 7.429446e-24</p>
<p>$<code>Mod2: Y~X+M</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 5.0421865 0.23923483 21.076306 9.399974e-83 pred -0.3631768 0.03821992 -9.502291 1.298478e-20 med 1.8071081 0.27508553 6.569259 7.877798e-11</p>
<p>$<code>Mod3: M~X</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 0.65662634 0.017424650 37.683761 1.572752e-198 pred -0.01931514 0.004204259 -4.594183 4.860473e-06</p>
<p>$Indirect.Effect [1] -0.03490454</p>
<p>$SE [1] 0.009271143</p>
<p>$z.value [1] -3.764858</p>
<p>$N [1] 1073</p>
<pre class="r"><code>mediation.test(emotions_survey_text$IHLScore, emotions_survey_text$NatID, emotions_survey_text$MoralScore) # significant mediation effects </code></pre>
<pre><code>            Sobel        Aroian       Goodman</code></pre>
<p>z.value -3.7648584613 -3.7359027866 -3.7944980200 p.value 0.0001666434 0.0001870429 0.0001479425</p>
<pre class="r"><code># Mediation of PolID (X) on MoralScore (Y) by IHLScore (M)

## ACME Method
med.fit.polid &lt;- lm(IHLScore ~ PolID, data = emotions_survey_text)
out.fit.polid &lt;- lm(MoralScore ~ IHLScore + PolID, data = emotions_survey_text)
med.out.polid &lt;- mediate(med.fit.polid, out.fit.polid, treat = &quot;PolID&quot;, mediator = &quot;IHLScore&quot;, robustSE = T, sims = 1000)
summary(med.out.polid) # NO significant mediation effects (ACME)</code></pre>
<p>Causal Mediation Analysis</p>
<p>Quasi-Bayesian Confidence Intervals</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value    </code></pre>
<p>ACME -0.00896 -0.02545 0.01 0.28<br />
ADE -0.35267 -0.43133 -0.28 &lt;2e-16 <strong><em> Total Effect -0.36164 -0.43766 -0.29 &lt;2e-16 </em></strong> Prop. Mediated 0.02385 -0.01885 0.07 0.28<br />
— Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 1073</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.out.polid, main = &quot;Figure OA.28: ACME of IHLScore on Association of PolID and MoralScore&quot;) # plot the mediation effects</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>med.boot.polid &lt;- mediate(med.fit.polid, out.fit.polid, boot = T, treat = &quot;PolID&quot;, mediator = &quot;IHLScore&quot;, sims = 1000) # bootstrap</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>summary(med.boot.polid) # NO significant mediation effects (ACME) with bootstrap</code></pre>
<p>Causal Mediation Analysis</p>
<p>Nonparametric Bootstrap Confidence Intervals with the Percentile Method</p>
<pre><code>           Estimate 95% CI Lower 95% CI Upper p-value    </code></pre>
<p>ACME -0.00872 -0.02384 0.01 0.29<br />
ADE -0.35441 -0.43140 -0.27 &lt;2e-16 <strong><em> Total Effect -0.36313 -0.44061 -0.28 &lt;2e-16 </em></strong> Prop. Mediated 0.02401 -0.02129 0.06 0.29<br />
— Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Sample Size Used: 1073</p>
<p>Simulations: 1000</p>
<pre class="r"><code>plot(med.boot.polid, main = &quot;Figure OA.29: ACME of IHLScore on Association of PolID and MoralScore, Bootstrap&quot;) # plot the mediation efects</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>## Baron and Kenny (1986) Mediation Procedure
fit.polid &lt;- lm(MoralScore ~ PolID, data = emotions_survey_text)
summary(fit.polid) # significant total effect</code></pre>
<p>Call: lm(formula = MoralScore ~ PolID, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -4.2957 -1.0396 -0.0396 1.0973 3.1569</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 5.65878 0.10732 52.73 &lt;2e-16 <strong><em> PolID -0.36313 0.03504 -10.36 &lt;2e-16 </em></strong> — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.409 on 1071 degrees of freedom Multiple R-squared: 0.09115, Adjusted R-squared: 0.0903 F-statistic: 107.4 on 1 and 1071 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>fita.polid &lt;- lm(IHLScore ~ PolID, data = emotions_survey_text)
summary(fita.polid) # no significant path a effect</code></pre>
<p>Call: lm(formula = IHLScore ~ PolID, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -0.57032 -0.08291 -0.07452 0.08795 0.42968</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 0.591309 0.011806 50.084 &lt;2e-16 *** PolID -0.004198 0.003855 -1.089 0.276<br />
— Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 0.155 on 1071 degrees of freedom Multiple R-squared: 0.001106, Adjusted R-squared: 0.0001738 F-statistic: 1.186 on 1 and 1071 DF, p-value: 0.2763</p>
<pre class="r"><code>fitb.polid &lt;- lm(MoralScore ~ IHLScore + PolID, data = emotions_survey_text)
summary(fitb.polid)</code></pre>
<p>Call: lm(formula = MoralScore ~ IHLScore + PolID, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -4.1147 -0.9398 -0.0304 1.0730 3.3029</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 4.43058 0.19110 23.185 &lt; 2e-16 <strong><em> IHLScore 2.07709 0.27054 7.678 3.64e-14 </em></strong> PolID -0.35441 0.03415 -10.379 &lt; 2e-16 *** — Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.373 on 1070 degrees of freedom Multiple R-squared: 0.1386, Adjusted R-squared: 0.137 F-statistic: 86.08 on 2 and 1070 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>fitc.polid &lt;- lm(PolID ~ MoralScore + IHLScore, data = emotions_survey_text)
summary(fitc.polid) </code></pre>
<p>Call: lm(formula = PolID ~ MoralScore + IHLScore, data = emotions_survey_text)</p>
<p>Residuals: Min 1Q Median 3Q Max -2.7220 -0.9047 -0.1326 0.9297 2.8266</p>
<p>Coefficients: Estimate Std. Error t value Pr(&gt;|t|)<br />
(Intercept) 3.83176 0.16197 23.658 &lt;2e-16 <strong><em> MoralScore -0.25810 0.02487 -10.379 &lt;2e-16 </em></strong> IHLScore 0.29665 0.23697 1.252 0.211<br />
— Signif. codes: 0 ‘<em><strong>’ 0.001 ’</strong>’ 0.01 ’</em>’ 0.05 ‘.’ 0.1 ’ ’ 1</p>
<p>Residual standard error: 1.171 on 1070 degrees of freedom Multiple R-squared: 0.09248, Adjusted R-squared: 0.09078 F-statistic: 54.52 on 2 and 1070 DF, p-value: &lt; 2.2e-16</p>
<pre class="r"><code>stargazer(fit.polid, fita.polid, fitb.polid, fitc.polid, type = &#39;html&#39;, title = &quot;Table OA.42: Mediation of Association of PolID (X) with MoralScore (Y) by IHLScore (M), Baron and Kenny Method&quot;)</code></pre>
<table style="text-align:center">
<caption>
<strong>Table OA.42: Mediation of Association of PolID (X) with MoralScore (Y) by IHLScore (M), Baron and Kenny Method</strong>
</caption>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="4">
<em>Dependent variable:</em>
</td>
</tr>
<tr>
<td>
</td>
<td colspan="4" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
MoralScore
</td>
<td>
IHLScore
</td>
<td>
MoralScore
</td>
<td>
PolID
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
MoralScore
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
-0.258<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
(0.025)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
IHLScore
</td>
<td>
</td>
<td>
</td>
<td>
2.077<sup>***</sup>
</td>
<td>
0.297
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
(0.271)
</td>
<td>
(0.237)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
PolID
</td>
<td>
-0.363<sup>***</sup>
</td>
<td>
-0.004
</td>
<td>
-0.354<sup>***</sup>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.035)
</td>
<td>
(0.004)
</td>
<td>
(0.034)
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
5.659<sup>***</sup>
</td>
<td>
0.591<sup>***</sup>
</td>
<td>
4.431<sup>***</sup>
</td>
<td>
3.832<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.107)
</td>
<td>
(0.012)
</td>
<td>
(0.191)
</td>
<td>
(0.162)
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
1,073
</td>
<td>
1,073
</td>
<td>
1,073
</td>
<td>
1,073
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.091
</td>
<td>
0.001
</td>
<td>
0.139
</td>
<td>
0.092
</td>
</tr>
<tr>
<td style="text-align:left">
Adjusted R<sup>2</sup>
</td>
<td>
0.090
</td>
<td>
0.0002
</td>
<td>
0.137
</td>
<td>
0.091
</td>
</tr>
<tr>
<td style="text-align:left">
Residual Std. Error
</td>
<td>
1.409 (df = 1071)
</td>
<td>
0.155 (df = 1071)
</td>
<td>
1.373 (df = 1070)
</td>
<td>
1.171 (df = 1070)
</td>
</tr>
<tr>
<td style="text-align:left">
F Statistic
</td>
<td>
107.409<sup>***</sup> (df = 1; 1071)
</td>
<td>
1.186 (df = 1; 1071)
</td>
<td>
86.083<sup>***</sup> (df = 2; 1070)
</td>
<td>
54.517<sup>***</sup> (df = 2; 1070)
</td>
</tr>
<tr>
<td colspan="5" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="4" style="text-align:right">
<sup><em></sup>p&lt;0.1; <sup><strong></sup>p&lt;0.05; <sup></strong></em></sup>p&lt;0.01
</td>
</tr>
</table>
<pre class="r"><code>sobel(emotions_survey_text$PolID, emotions_survey_text$IHLScore, emotions_survey_text$MoralScore) # sobel significance test of mediation effect</code></pre>
<p>$<code>Mod1: Y~X</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 5.6587834 0.10732163 52.72734 6.680529e-300 pred -0.3631267 0.03503782 -10.36385 4.745383e-24</p>
<p>$<code>Mod2: Y~X+M</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 4.4305802 0.19109696 23.184985 1.115514e-96 pred -0.3544064 0.03414568 -10.379246 4.108357e-24 med 2.0770923 0.27054013 7.677576 3.643673e-14</p>
<p>$<code>Mod3: M~X</code> Estimate Std. Error t value Pr(&gt;|t|) (Intercept) 0.591308948 0.011806445 50.08357 7.131312e-283 pred -0.004198329 0.003854508 -1.08920 2.763109e-01</p>
<p>$Indirect.Effect [1] -0.008720317</p>
<p>$SE [1] 0.008086335</p>
<p>$z.value [1] -1.078402</p>
<p>$N [1] 1073</p>
<pre class="r"><code>mediation.test(emotions_survey_text$IHLScore, emotions_survey_text$PolID, emotions_survey_text$MoralScore) # NO significant mediation effect</code></pre>
<pre><code>         Sobel     Aroian    Goodman</code></pre>
<p>z.value -1.0784015 -1.0695448 -1.0874820 p.value 0.2808546 0.2848242 0.2768239</p>
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